Category: Automated Testing

Case StudyGame Testing

MMORPG Game Testing

Our client has a game product which is a free-to-play open-world survival RPG for mobile and PC.

Overview

The Game combines PvP and PvE modes as players fend off dual threats of the infected and other humans as they fight to survive in this apocalyptic wasteland.

Client Introduction

  • Client: A Chinese client
  • Domain: Survival RPG
  • Framework: Game application​
  • Development process: Agile

Business Needs

The client wanted us to:

  • Ensure that all game features work as expected
  • Ensure that the game fully supports different languages
  • Ensure that the game works well on Android and IOS operating systems and different types of mobile devices
Game Testing

Our Solution

Based on our client’s needs, LTS Group’s testing team did some tasks, including:

  • Functional testing
  • Client performance testing
  • Network testing
  • Compatibility & adaptation testing

Tech Stack

  • Android
  • iOS
  • Unreal engine
  • TAPD

Achievements

We created 15840 test cases and detected 244 bugs and did 20 regression runs​.

Case StudyCase StudyEcommerce

eCommerce Platform Selling IQOS Devices Testing

Our client has an eCommerce platform that sells a line of heated tobacco and electronic cigarettes (IQOS) devices in the Japanese domestic market & other countries. This platform allows customers to purchase, replace, and upgrade their products and find out how to use the products.

Client Introduction

  • Client: International
  • Domain: eCommerce

Business Challenge

Multiple promotions & marketing campaigns were planned and executed regularly. Thus, the client needed to conduct many different test cases to ensure the purchasing, transaction, and stock replenishment processes work properly during new product releases and when promotions were applied.

Many payment methods were also supported, including:

  • Pay later
  • Pay by link (QR Code)
  • Pay by credit card
  • Cash on delivery (COD)
Testing for E-Commerce Platform Selling IQOS Devices

Our Solution

Based on our client’s needs, LTS Group’s testing team carried out various tasks:

  • Products were managed by unique IDs through a complex CMS system
  • Promotions and campaigns were updated every week, which required configuration adjustment in the backend to display the correct purchase amount on the front-end.
  • Integration tests were executed daily
  • Sanity tests were executed bi-weekly

Achievements

We successfully executed 900 test cases and detected 95 bugs.

Automotive

ADAS & LiDAR Testing and Development for Client in EU

In this case study, let’s discover how LTS Group successfully assisted a European automotive client, specializing in scalable vehicle architecture, to deliver high-quality ADAS & LiDAR testing and development as a cost-effective alternative to their previous vendor.

Client Introduction

Our client is a Tier 2 European automotive company focused on developing revolutionary vehicle architecture with full scalability to support diverse drive systems and advanced technology solutions.

Business Challenge

In an effort to reduce operational costs, the client was searching for a reliable vendor that could deliver high-quality results at a more competitive price point. After several rounds of evaluation, LTS Group was selected to take over their ADAS & LiDAR testing and development.

Scope of Work

  • Braking system​
  • Steering​
  • Safety​ (ADAS)

​Typical Projects

  1. BSW, MCAL for Ambient Light system​

Team size: 4​

Duration: 1/2023 ~ 12/2023

  1. Manual Test for ADAS – UDS on CAN and ETH​

Team size: 10​

Duration: 2/2024 ~ 8/2024

  1. CICD for E-Park Lock, E-Shift Lock​

Team size: 5​

Duration: 2/2024 ~ 8/2024​

Technologies & Tools​

  • BSW, MCAL, SIL​
  • Autosar, ASPICE LV2, SHA-256, Vector vFLASH​
  • C, CAPL, Davinci Configurator & Developer, Config MCAL on EB Tresos​
  • vTestStudio, vCast, Matlab, Simulink, Helix QAC, Boot Loader.​
  • Jenkins, Gitlab, Docker​

Unit Testing vs Functional Testing: Navigating Key Differences

The difference between unit testing vs functional testing primarily lies in their nature and scope. Unit testing is a testing level focused on individual components, while functional testing is a type of testing that evaluates the system’s overall behavior.

Before comparing these approaches, it’s crucial to understand that unit testing and functional testing are not mutually exclusive. Unit testing is a subset of functional testing, and the unit testing phase includes functional testing activities at the component level. These methods are complementary and can run in parallel.

Both unit testing and functional testing aim to ensure software quality by validating functionalities and acting as early detectors of issues, preventing them from escalating.

Distinguishing unit testing vs functional testing is not about choosing which is better, but about gaining a more accurate, comprehensive view of the testing layers throughout the software development life cycle. The ultimate goal is to combine unit testing and functional testing to achieve the best possible testing outcomes.

Let’s focus on this goal and dive deeper into analyzing the nature, principles, and best practices of unit testing vs functional testing!

 

Unit Testing vs Functional Testing: Key Differences

Aspects Unit testing Functional testing
Definition Unit testing is a software testing level in which each individual unit or component of code is tested to validate its correctness. Functional testing is a software testing type that evaluates the entire software application to verify that each function operates according to requirement specifications.
Scope Tests individual units or components of code. Tests the functionality of the entire application.
Granularity Tests are small and isolated, focusing on a single function or module. Tests are broader, covering multiple functions/modules and their interactions.
Objective Validates the behavior of a specific unit, ensuring it works as expected in isolation. Validates end-to-end functionality from a user’s perspective, ensuring the application meets requirements.
Speed Faster execution as tests are smaller and targeted. Slower execution due to broader scope and more complex scenarios.
Execution method Can be manual or automated testing. Typically automated.
Feedback Immediate feedback on individual code changes, aiding in rapid development. Feedback on overall functionality and user experience, identifying potential issues before release.
Coverage Focuses on code coverage within a unit, ensuring all code paths are tested. Focuses on ensuring all features work as expected, covering various user interactions.
Stubs & Drivers Not typically used. Often require stubs and drivers for components not yet developed
Setup Requires minimal setup, often utilizing mocks or stubs to isolate units. Requires comprehensive setup to replicate real-world environments, including databases, servers, and configurations.
Maintenance Require updates when code changes occur, ensuring tests reflect current code behavior. May need updates as requirements change, ensuring tests align with updated functionality.
Debugging Helps in identifying and fixing bugs early in the development process. Helps in identifying integration and user interface issues, improving overall application stability.
When to run Generally executed after unit and integration tests. Frequently executed, usually after any modification in code.

 

Functional Testing Overview

What is functional testing?

Functional testing is a type of software application testing that examines the functionality of a software application or system. This process focuses on assessing if the software app functions as intended and meets the business expectations.

The purpose of functional testing is to validate the application’s features, capabilities, and interactions with different components. It is the process of testing the software app’s input and output, user interactions, data manipulation, and the system’s response to various scenarios and conditions.

Types of functional testing:

  • Unit test
  • Smoke test
  • Sanity test
  • Integration test
  • System test
  • Regression test
  • User acceptance test

Advantages & disadvantages 

Functional testing is a crucial aspect of every software development plan. Besides its obvious benefits, it shows some drawbacks as well. Here are some key advantages and disadvantages of functional tests that businesses should take into account:

Advantages Disadvantages
Ensures requirement adherence: Functional test is specifically designed to verify that the software’s functionality aligns with the user and business’s needs and requirements. This means that every future, input, and output is examined against the expectations set out in the requirements. Time-consuming: Implementing comprehensive functional test cases for all user requirements requires significant effort and time investment. This involves writing, maintaining, and executing detailed functional tests.
User-focused validation: Functional test focuses on ensuring the final product is user-friendly and meets customer satisfaction. This type of test is created based on user stories, use cases, and specific functionalities that the users expect, ensuring that the software does what the users need it to do. Incomplete coverage: Functional testing may not cover all possible functional scenarios, resulting in missed defects and bugs. This is because it focuses on testing specific functionalities as defined by requirements, which might not include all edges.
Early defect detection: This is a significant benefit of functional testing because it allows for the identification and resolution of the software’s defects from the beginning. This helps reduce the development cost and effort required to fix them later. Resource intensive: Functional testing can require significant resources, including time, personnel, and tools, to perform thoroughly. This can be especially challenging for smaller teams with limited resources.
Supports automation test: Functional tests can be automated, increasing testing efficiency, and allowing for frequent and consistent testing throughout development. Maintenance overhead: Maintaining functional test cases can be burdensome, especially in agile environments with frequent changes. Test cases must be updated regularly to reflect changes in the requirements and functionalities.
Facilitates regression testing: Functional tests are useful for regression testing. It helps ensure that new changes or updates do not adversely affect the existing functionalities. Dependency on clear requirements: The effectiveness of functional testing depends heavily on the availability and clarity of requirements. Ambiguous or incomplete requirements can lead to ineffective testing and missed defects.

 

When to perform functional testing?

Here are signs indicating when businesses should use functional testing:

  • When preparing to release new software versions or updates: Functional test ensures that new features work as intended and existing functionalities remain unaffected, maintaining the software’s reliability and user satisfaction.
  • Whenever there are changes to the software’s requirements or specifications: Functional testing helps validate that the software still meets the updated criteria, preventing regression issues and ensuring alignment with stakeholder expectations.
  • Before integrating third-party systems or components into the software: Functional testing verifies that the integration works correctly and does not disrupt the overall functionality of the system, ensuring smooth interactions between different parts of the software ecosystem.
  • When implementing changes or enhancements to the user interface (UI): Functional testing ensures that the UI changes are implemented correctly and do not introduce usability issues or interfere with user interactions, maintaining a positive user experience.
  • After fixing defects or bugs identified during previous testing phases: Functional testing validates that the fixes are effective and do not introduce new issues, ensuring that the software remains stable and reliable after bug resolution.
  • During the final stages of software development before deployment: Functional testing serves as a comprehensive validation of the entire system, from end to end, ensuring that all functionalities work together seamlessly and meet the intended requirements before release.

Functional testing is indeed essential for the above situations. It is uniquely suited to address the above signs thanks to its focus on validating the software’s functional behavior and adherence to requirements.

 

Popular frameworks and tools in functional tests

Here’s a list of top functional testing tools and frameworks that the QA team can use:

  • Selenium: This is one of the most popular open-source automation testing frameworks for web applications. It supports multiple programming languages such as Java, Python, C#, and more.
  • Cypress: This modern JavaScript-based testing framework is specifically designed for web apps. It offers an all-in-one testing solution with features like a built-in assertion library, real-time browser testing, and easy setup.
  • Playwright: It is an open-source automation tool developed by Microsoft, used for testing web apps across different browsers (Chrome, Firefox, Chromium, Microsoft Edge, and WebKit).
  • Appium: This is an open-source automation tool used for testing mobile applications on various platforms such as iOS, Android, and Windows.
  • Soap UI: SoapUI is a widely used API testing tool for testing SOAP and RESTful web services. It allows testers to create, execute, and automate tests for web services, including functional testing, performance testing, and security testing.
  • WatirC:  Watir (Web Application Testing in Ruby) is an open-source automation framework for web applications, developed using the Ruby programming language. It supports cross-browser testing and integrates with various testing tools and libraries.

Depending on the specific needs of the project and the preferences of the testing team, testers can choose the most suitable framework or tool to ensure effective functional testing.

 

Unit Testing Overview

What is unit testing?

Unit testing is one of the software application testing levels. It focuses on testing individual units or components of the software in isolation. 

This functional testing type verifies the correctness of each unit’s behavior and functionality, ensuring that each part of the software works as intended.

This process is most useful during development to detect and fix defects early in the coding phase. By writing code in small, functional units and creating a corresponding unit test for each one, developers can maintain high code quality.

These unit tests are written as code and run automatically whenever changes are made to the software. If a test fails, it quickly identifies the specific area of the code with a bug or error, facilitating faster debugging and more efficient development.

 

What is a unit test?

A unit test is a block of code designed to validate the accuracy of a smaller, isolated block of application code, usually a function or method. Its goal is to ensure that the block of code performs as expected, based on the developer’s intended logic.

A single block of code may also have multiple unit tests, known as test cases. A complete set of test cases covers the full expected behavior of the code block.

 

Advantages & disadvantages

Since unit testing is a type of functional testing, it possesses all of the functional testing pros and cons like early bug detection, improved code quality, yet time-consuming, and incomplete test coverage.

Besides that, here are some distinct advantages and disadvantages of unit tests that businesses should take into account:

Advantages Disadvantages
Unit tests are fast: We only need to build a small unit to test it, and the tests also tend to be rather small. In fact, one-tenth of a second is considered slow for unit tests. Setup complexity: The initial setup of unit testing frameworks, including configuring mocks and dependencies, can be intricate and time-consuming.
Unit tests are reliable: Simple systems and small units in general tend to suffer much less from flakiness. Furthermore, best practices for unit testing – in particular practices related to hermetic tests – will remove flakiness entirely. Integration challenges: Integrating individually tested units into the broader system architecture may present complexities due to dependencies and environmental disparities.
Unit tests isolate failures: Even if a product contains millions of lines of code if a unit test fails, you only need to search that small unit under test to find the bug. Potential test redundancy: Overlapping test coverage among unit tests can lead to redundancy, complicating maintenance and potentially obscuring genuine defects.

 

When to perform unit testing?

Here are suitable situations when unit testing proves more beneficial than other testing methods:

  • During the early stages of development: It is essential to implement unit tests at the beginning of the development life cycle. Unit testing allows for identifying and addressing defects at the individual component level, reducing the likelihood of defects propagating to higher levels and minimizing rework later in the development process.
  • When code changes are made frequently: Unit testing provides rapid feedback on the impact of these changes, helping developers catch regressions early and maintain code integrity throughout the development lifecycle.
  • When testing complex or critical components of the software: Unit testing ensures that each software’s component behaves as expected in isolation, allowing for thorough validation and reducing the risk of errors in critical functionality.
  • When continuous integration/delivery (CI/CD) is required: Integrating unit tests into CI/CD pipelines automates the testing process, enabling developers to catch and fix issues early in the development cycle and ensuring that only high-quality code is deployed to production. While other types of testing may also be integrated into CI/CD pipelines, unit tests are essential for validating individual units and detecting regressions quickly.

Popular frameworks and tools in unit tests

Here’s a list of top unit testing tools and frameworks that the QA team can use:

  • JUnit: JUnit is one of the most widely used unit testing frameworks for Java applications. It provides annotations and assertions to write and execute tests easily.
  • Jasmine: Jasmine is a behavior-driven development (BDD) framework for testing JavaScript code. It provides an easy-to-understand syntax for defining tests and assertions, making it suitable for front-end and back-end testing in JavaScript environments.
  • TestNG: TestNG is a Java testing framework, inspired by JUnit and NUnit. It offers additional features beyond JUnit, such as support for parameterized tests, test grouping, and parallel test execution, making it a popular choice for Java developers.
  • PHPUnit: PHPUnit is a unit-testing framework for PHP applications. It offers a comprehensive set of assertion methods and features for testing PHP code.
  • Mocha: Mocha is a flexible and feature-rich JavaScript testing framework for Node.js applications. It supports asynchronous testing and various reporting formats.

 

Differentiating Factors of Functional Testing vs Unit Testing

The differences between unit vs functional testing are fundamental, lying in their testing scope and levels. 

Unit Testing is concentrated on individual units or components of code, ensuring that each part functions correctly in isolation.

On the other hand, functional testing focuses on verifying the overall functionality of the software application, ensuring it meets specified business requirements and user expectations. Functional tests encompass broader scenarios, validating end-to-end functionality from the user’s perspective to ensure the software behaves as intended in a real-world environment.

 

Key Similarities of Unit Testing and Functional Testing

Despite their distinct approaches, unit testing and functional testing are akin to companions with mutual objectives. Both techniques prioritize ensuring the software’s utmost reliability and excellence. They function as early detectors, identifying issues before they escalate.

Additionally, unit testing and functional testing share some similar advantages and disadvantages. The primary advantage of both is the early detection of defects, which helps reduce the cost and effort required to fix issues later in the development cycle. Both also contribute to higher code quality and reliability, providing confidence in the software’s stability.

However, they share the disadvantage of requiring significant initial effort to write comprehensive test cases, which can be time-consuming. Maintenance of these tests can also be challenging, especially when the codebase evolves, necessitating updates to the tests to ensure they remain relevant and effective.

Despite these challenges, the benefits they offer in terms of ensuring robust, high-quality software make both unit testing and functional testing indispensable in modern software development practices.

 

Keep Balance of both Functional Testing and Unit Testing

There is no absolute balance between functional vs unit testing. Because the testing implementers do not need to choose between these two types of tests; QA experts can and should perform them in parallel. As clarified at the beginning of the article, unit testing vs functional testing are not mutually exclusive but rather complementary and often overlap.

Unit tests typically target specific features at the module or class level, whereas functional tests evaluate use-case scenarios from the user interface to the end of processing.

For example, in an e-commerce web app, a critical function is product searching, which includes searching across all categories and using custom filters. During unit testing, developers, who have access to the backend code (a white-box testing technique), test individual modules: Developer A might test the search-all-categories module, while Developer B tests the search-by-custom-filter module. This is unit testing.

When developers examine functionalities such as searching, choosing filters, and sorting results, they are conducting functional testing at a unit level. However, the functional test covers broader testing, including testing levels other than unit tests, which are integration tests and system tests (end-to-end testing). 

Continuing with the e-commerce example, integration testing verifies that the search-all-categories module and the search-by-custom-filter module work well together. System testing evaluates the entire workflow, from account creation, logging in, searching for products, and adding products to the cart, to payment, ensuring a seamless and logical user flow.

To achieve comprehensive testing coverage, from individual components to the system as a whole, and ensure flawless testing outcomes, businesses should combine not only unit testing vs functional testing but these 3 levels of functional tests. This aligns closely with Agile developments, enhancing software quality while maintaining adaptability and speed.

Relying exclusively on functional testing without a well-balanced stratification strategy, or over-relying solely on unit testing, can lead to significant consequences. These include missing critical defects, difficulties in debugging, longer feedback loops, and higher costs for fixing bugs. 

Therefore, the optimal balance is the strategic use of functional testing at different levels, including unit testing, to ensure thorough and effective testing outcomes.

Here are some best practices to navigate unit testing vs functional testing and other test levels of functional test:

 

Stick to the testing objectives 

Every software development project has three fundamental objectives: correctness of features, clean and maintainable code, and a productive workflow:

  • Correctness of features:  Ensures that the software meets both functional and non-functional requirements, delivering the intended outcomes accurately and reliably.
  • Clean and maintainable code: Aims to create a codebase that is readable, flexible, and scalable, reducing technical debt and ensuring long-term sustainability.
  • Productive workflow: Focuses on fostering effective team dynamics, enhancing efficiency, and shortening development cycles to streamline processes and increase the likelihood of project success.

 

Understand all the testing types and levels thoroughly

Having a comprehensive understanding of each testing type and level is crucial for the QA team to plan effective testing plans and utilize each approach’s strengths at the appropriate time.

Let’s find out the most fundamental knowledge of each functional testing level in the following table:

Aspects Unit tests Integration tests End-to-end tests (system tests)
Focus Single functionality and small units of code Interaction between different modules or external systems The entire application as end users would experience it
Purpose Ensure new changes do not break existing functionality; maintain code quality Verify the system’s overall coherence and functionality at critical stages Validate the entire application’s workflow under real-world conditions
Number Numerous Fewer Fewest
Complexity Low Medium High
Scope Detailed and granular Moderate Broad
Execution time Quick Slower Longest
Frequency of execution Frequently, ideally part of automated continuous integration Less frequently than unit tests, at key points during the development cycle At significant milestones, such as before releases
Cost Low Medium – more expensive than unit tests Higher than both unit and integration tests
Examples Testing a single function or method Testing data flow between two modules Testing a user logging in and completing a transaction

 

To achieve the right balance among all testing types, the testing pyramid is an excellent method. The pyramid graphic below depicts the three essential layers of functional testing in a typical software development life cycle:

As shown, unit tests form the base of the testing pyramid, acting as the backbone of the software application testing process. As you move up the pyramid, the tests cover broader scopes and become more complex. Conducting frequent and thorough unit testing at the foundation level significantly reduces the risk of undetected bugs and issues.

Google recommends an ideal split of 70/20/10 for a balanced testing strategy: 70% unit tests, 20% integration tests, and 10% end-to-end functional tests. While these exact proportions may vary for different teams, the foundational pyramid structure serves as a consistent guide.

 

Understand the true value of tests 

The greatest value a software product team can offer end-users is not merely identifying bugs, but ensuring those bugs are resolved. To fix a bug, it must first be detected, ideally through a test designed to catch it.

However, value is only truly added when the bug is fixed. Therefore, when evaluating any testing strategy, it’s not enough to consider how well it identifies bugs. It’s equally important to assess how effectively it enables developers to fix and prevent bugs.

 

Build the right feedback loop

Tests establish a feedback loop that informs developers whether the product is functioning correctly. An ideal feedback loop is characterized by speed, reliability, and the ability to isolate failures.

  • Speed: Fast feedback allows for quicker fixes, and with a fast enough loop, developers can even run tests before committing changes.
  • Reliability: Reliable tests are crucial. Spending hours debugging only to find out it was a flaky test erodes developers’ trust in the test suite.
  • Isolation of failures: Finding the specific lines of code causing a bug in a product with millions of lines is akin to searching for a needle in a haystack. Isolating failures helps developers pinpoint and address issues effectively.

To create this ideal feedback loop, focus on smaller, more manageable components. Unit tests, which isolate and test small parts of the product, are particularly effective in creating an optimal feedback loop.

 

Getting solutions from experts

Effectively combining and optimizing different levels of functional testing requires precise professional knowledge of each test type and extensive functional testing experience.

Building and training an in-house QA team demands significant time, effort, and cost. As a result, many businesses opt to outsource to software testing companies for the following benefits:

  • Quick access to a vast pool of QA experts with extensive experience and professional knowledge in all types of functional testing.
  • Cost savings by reducing expenses on infrastructure, recruitment, and training.
  • Accelerated time to market by minimizing the time and effort required for hiring and training.
  • An optimized and flawless testing process, thanks to the expertise of the outsourced team.

Engaging a specialized software QA and testing firm enhances functional and unit testing, ensuring comprehensive evaluation and optimal testing performance.

With over 8 years of experience as a pioneering independent software QA provider in Vietnam, LQA stands out as a leading IT quality and security assurance organization. We offer a wide range of software QA and testing services, and software development solutions to meet our client’s diverse needs.

At LQA, we stay current with the latest industry-leading tools and functional testing methodologies.

Key features of LQA’s functional test solution:

  • Comprehensive software QA solutions: consultation, strategy, execution, and ongoing support.
  • A bug rate of less than 3% for devices, mobile, and web applications.
  • Quick delivery facilitated by a large team of experienced testers.
  • An optimal price-to-quality ratio, leveraging cost savings and the expertise of Vietnamese IT professionals.
  • Tailored solutions based on industry-specific knowledge.
  • Maximum security assured through a Non-Disclosure Agreement (NDA) and stringent security procedures during database access.

Connect with LQA’s professionals to enhance the functional testing experience, ensuring outstanding software quality, bug-free applications, quick project delivery, cost-effective solutions, industry-specific precision, and maximum security.

 

Frequently Asked Questions About Unit Tests and Functional Tests

What is unit testing?

Unit testing is a software testing level where individual units or components of a software application are tested in isolation. The purpose is to validate that each unit functions correctly as per the design specifications.

 

What is functional testing?

Functional testing is a type of software testing that evaluates the overall functionality of a software application by testing its features against specified requirements. It involves testing the application’s behavior and functionality from an end-user perspective. Major functional testing levels include: unit testing, integration testing, and system testing (end-to-end testing)

 

What is the difference between unit test and functional test?

The main difference between unit testing vs functional testing lies in their scope and focus. Unit testing is focused on testing individual components or units of the software application in isolation, typically at the code level. On the other hand, functional testing evaluates the behavior and functionality of the application as a whole, typically from the end user’s perspective, and encompasses testing various features and functionalities of the application.

 

Final Thoughts About Functional Tests vs Unit tests

In conclusion, unit testing and functional testing are not mutually exclusive but rather complementary. While unit testing focuses on individual components, functional testing evaluates the system’s overall behavior. Achieving an optimal balance between unit test vs functional test methods involves performing them in parallel to ensure thorough and effective testing outcomes.

Our article has served as a comprehensive guide to understanding the differences and nuances between unit tests vs functional tests.

Effectively combining and optimizing different levels of testing, including functional test vs unit test requires precise professional knowledge and extensive experience in functional testing.

Engaging a specialized software QA and testing firm, such as LQA, can enhance unit testing vs functional testing, ensuring comprehensive evaluation and optimal testing performance. For further assistance and to enhance your testing experience, we encourage you to connect with LQA’s experts.

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How to Use AI in Software Testing: A Complete Guide

Did you know that 40% of testers are now using ChatGPT for test automation, and 39% of testing teams have reported efficiency gains through reduced manual effort and faster execution? These figures highlight the growing adoption of AI in software testing and its proven ability to improve productivity.

As businesses strive to accelerate development cycles while maintaining software quality, the demand for more efficient testing methods has risen substantially. This is where AI-driven testing tools come into play thanks to their capability to automate repetitive tasks, detect defects early, and improve test accuracy.

In this article, we’ll dive into the role of AI in software testing at length, from its use cases and advancements from manual software testing to how businesses can effectively implement AI-powered solutions.

What is AI in Software Testing?

As software systems become more complex, traditional testing methods are struggling to keep pace. A McKinsey study on embedded software in the automotive industry revealed that software complexity has quadrupled over the past decade. This rapid growth makes it increasingly challenging for testing teams to maintain software stability while keeping up with tight development timelines.

What is AI in Software Testing

What is AI in Software Testing?

The adoption of artificial intelligence in software testing marks a significant shift in quality assurance. With the ability to utilize machine learning, natural language processing, and data analytics, AI-driven testing boosts precision, automates repetitive tasks, and even predicts defects before they escalate. Together, these innovations contribute to a more efficient and reliable testing process.

According to a survey by PractiTest, AI’s most notable benefits to software testing include improved test automation efficiency (45.6%) and the ability to generate realistic test data (34.7%). Additionally, AI is reshaping testing roles, with 23% of teams now overseeing AI-driven processes rather than executing manual tasks, while 27% report a reduced reliance on manual testing. However, AI’s ability to adapt to evolving software requirements (4.08%) and generate a broader range of test cases (18%) is still developing.

Benefits of AI in software testing

Benefits of AI in software testing

AI Software Testing vs Manual Software Testing

Traditional software testing follows a structured process known as the software testing life cycle (STLC), which comprises six main stages: requirement analysis, test planning, test case development, environment setup, test execution, and test cycle closure.

AI-powered testing operates within the same framework but introduces automation and intelligence to increase speed, accuracy, and efficiency. By integrating AI into the STLC, testing teams can achieve more precise results in less time. Here’s how AI transforms traditional STLC’s stages:

  • Requirement analysis: AI evaluates stakeholder requirements and recommends a comprehensive test strategy.
  • Test planning: AI creates a tailored test plan, focusing on areas with high-risk test cases and adapting to the organization’s unique needs.
  • Test case development: AI generates, customizes, and self-heals test scripts, also providing synthetic test data as needed.
  • Test cycle closure: AI assesses defects, forecasts trends, and automates the reporting process.

While AI brings significant advantages, manual testing remains irreplaceable in certain cases.

For a detailed look at the key differences between the two approaches, refer to the table below:

Aspect Manual testing AI testing
Speed and efficiency Time-consuming and needs significant human effort.

Best for exploratory, usability, and ad-hoc testing.

Executes thousands of tests in parallel, reducing redundancy and optimizing efficiency.

Learns and improves over time.

Accuracy and reliability Prone to human errors, inconsistencies, and fatigue. Provides consistent execution, eliminates human errors, and predicts defects using historical data.
Test coverage Limited by time and resources. Suitable for real-world scenario assessments that automated tools might miss. Expands test coverage significantly, identifying high-risk areas and executing thousands of test cases within minutes.
Cost and resource Requires skilled testers, leading to high long-term costs. Labor-intensive for large projects. Best for small-scale applications. Reduces long-term expenses by minimizing manual effort. AI-driven testing automation tools automate test creation and execution, running continuously.
Test maintenance Needs frequent updates and manual adjustments for every software change, increasing maintenance costs. Self-healing test scripts automatically adjust to evolving applications, reducing maintenance efforts.
Scalability Difficult to scale across multiple platforms, demanding additional testers for large projects. Easily scalable with cloud-based execution, supporting parallel tests across different devices and browsers. Ideal for large-scale enterprise applications.

Learn more: Automation testing vs. manual testing: Which is the cost-effective solution for your firm?

Use Cases of AI in Software Testing

According to the State of Software Quality Report 2024, test case generation is the most common AI application in both manual and automated testing, followed closely by test data generation.

Still, AI and ML can advance software testing in many other ways. Below are 5 key areas where these two technologies can make the biggest impact:

Use Cases of AI in Software Testing

Use Cases of AI in Software Testing

Automated test case generation

Just like how basic coding tasks that once required human effort can now be handled by AI, in software testing, AI-powered tools can generate test cases based on given requirements.

Traditionally, automation testers had to write test scripts manually using specific frameworks, which required both coding expertise and continuous maintenance. As the software evolved, outdated scripts often failed to recognize changes in source code, leading to inaccurate test results. This created a significant challenge for testers working in agile environments, where frequent updates and rapid iterations demand ongoing script modifications.

With generative AI in software testing, QA professionals can now provide simple language prompts to instruct the chatbot to create test scenarios tailored to specific requirements. AI algorithms will then analyze historical data, system behavior, and application interactions to produce comprehensive test cases.

Automated test data generation

In many cases, using real-world data for software testing is restricted due to compliance requirements and data privacy regulations. AI-driven synthetic test data generation addresses this challenge by creating realistic, customized datasets that mimic real-world conditions while maintaining data security.

AI can quickly generate test data tailored to an organization’s specific needs. For example, a global company may require test data reflecting different regions, including address formats, tax structures, and currency variations. By automating this process, AI not only eliminates the need for manual data creation but also boosts diversity in test scenarios.

Automated issue identification

AI-driven testing solutions use intricate algorithms and machine learning to detect, classify, and prioritize software defects autonomously. This accelerates issue identification and resolution, ultimately improving software quality through continuous improvement.

The process begins with AI analyzing multiple aspects of the software, such as behavior, performance metrics, and user interactions. By processing large volumes of data and recognizing historical patterns, AI can pinpoint anomalies or deviations from expected functionality. These insights help uncover potential defects that could compromise the software’s reliability.

One of AI’s major advantages is its ability to prioritize detected issues based on severity and impact. By categorizing problems into different levels of criticality, AI enables testing teams to focus on high-risk defects first. This strategic approach optimizes testing resources, reduces the likelihood of major failures in production, and enhances overall user satisfaction.

Continuous testing in DevOps and CI/CD

AI plays a vital role in streamlining testing within DevOps and continuous integration/ continuous deployment (CI/CD) environments.

Once AI is integrated with DevOps pipelines, testing becomes an ongoing process that is seamlessly triggered with each code change. This means every time a developer pushes new code, AI automatically initiates necessary tests. This process speeds up feedback loops, providing instant insights into the quality of new code and accelerating release cycles.

Generally, AI’s ability to automate test execution after each code update allows teams to release software updates more frequently and with greater confidence, improving time-to-market and product quality.

Test maintenance

Test maintenance, especially for web and user interface (UI) testing, can be a significant challenge. As web interfaces frequently change, test scripts often break when they can no longer locate elements due to code updates. This is particularly problematic when test scripts interact with web elements through locators (unique identifiers for buttons, links, images, etc.).

In traditional testing approaches, maintaining these test scripts can be time-consuming and resource-intensive. Artificial intelIigence brings a solution to this issue. When a test breaks due to a change in a web element’s locator, AI can automatically fetch the updated locator so that the test continues to run smoothly without requiring manual intervention.

If this process is automated, AI will considerably reduce the testing team’s maintenance workload and improve testing efficiency.

Visual testing

Visual testing has long been a challenge for software testers, especially when it comes to comparing how a user interface looks before and after a launch. Previously, human testers relied on their eyes to spot any visual differences. Yet, automation introduces complications – computers detect even the slightest pixel-level variations as visual bugs, even when these inconsistencies have no real impact on user experience.

AI-powered visual testing tools overcome these limitations by analyzing UI changes in context rather than rigidly comparing pixels. These tools can:

  • Intelligently ignore irrelevant changes: AI learns which UI elements frequently update and excludes them from unnecessary bug reports.
  • Maintain UI consistency across devices: AI compares images across multiple platforms and detects significant inconsistencies.
  • Adapt to dynamic elements: AI understands layout and visual adjustments, making sure they enhance rather than disrupt user experience.

Adopt AI in software testing with LQA

How to Use AI in Software Testing?

Intrigued to dive deeper to start integrating AI into your software testing processes? Find out below.

How to Use AI in Software Testing

How to Use AI in Software Testing

Step 1. Identify areas where AI can improve software testing

Before incorporating AI into testing processes, decision-makers must pinpoint the testing areas that stand to benefit the most.

Here are a few ideas to get started with:

  • Automated test case generation
  • Automated test data generation
  • Automated issue identification
  • Continuous testing in DevOps and CI/CD
  • Test maintenance
  • Visual testing

Once these areas are identified, set clear objectives and success metrics for AI adoption. There are some common goals like increasing test coverage, test execution speed, and defect detection rates

Step 2. Choose between building from scratch or using proprietary AI tools

The next step is to choose whether to develop a custom AI solution or adopt a ready-made AI-powered testing tool.

The right choice depends on the organization’s resources, long-term strategy, and testing requirements.

Here’s a quick look at these 2 methods:

Build a custom AI system vs use proprietary AI tools

Build a custom AI system or use proprietary AI tools?

Build a custom AI system

In-house development allows for a personalized AI solution that meets specific business needs. However, this approach requires significant investment and expertise:

  • High upfront costs: Needs a team of skilled AI engineers and data scientists.
  • Longer development cycle: Takes more time to build compared to off-the-shelf AI tools.
  • Ongoing maintenance: AI models need regular updates and retraining.

Case study: NVIDIA’s Hephaestus (HEPH)

The DriveOS team at NVIDIA developed Hephaestus, an internal generative AI framework to automate test generation. HEPH simplifies the design and implementation of integration and unit tests by using large language models for input analysis and code generation. This greatly reduces the time spent on creating test cases while boosting efficiency through context-aware testing.

How does HEPH work? 

HEPH takes in software requirements, software architecture documents (SWADs), interface control documents (ICDs), and test examples to generate test specifications and implementations for the given requirements.

HEPH technical architecture

HEPH technical architecture

The test generation workflow includes the following steps:

  • Data preparation: Input documents such as SWADs and ICDs are indexed and stored in an embedding database, which is then used to query relevant information.
  • Requirements extraction: Requirement details are retrieved from the requirement storage system (e.g., Jama). If the input requirements lack sufficient information for test generation, HEPH automatically connects to the storage service, locates the missing details, and downloads them.
  • Data traceability: HEPH searches the embedding database to establish traceability between the input requirements and relevant SWAD and ICD fragments. This step creates a mapped connection between the requirements and corresponding software architecture components.
  • Test specification generation: Using the verification steps from the requirements and the identified SWAD and ICD fragments, HEPH generates both positive and negative test specifications, delivering complete coverage of all aspects of the requirement.
  • Test implementation generation: Using the ICD fragments and the generated test specifications, HEPH creates executable tests in C/C++.
  • Test execution: The generated tests are compiled and executed, with coverage data collected. The HEPH agent then analyzes test results and produces additional tests to cover any missing cases.

Use proprietary AI tools

Rather than crafting a custom AI solution, many organizations opt for off-the-shelf AI automation tools, which come with pre-built capabilities like self-healing tests, AI-powered test generation, detailed reporting, visual and accessibility testing, LLM and chatbot testing, and automated test execution videos.

These tools prove to be beneficial in numerous aspects:

  • Quick implementation: No need to develop AI models from the ground up.
  • Lower maintenance: AI adapts automatically to application changes.
  • Smooth integration: Works with existing test frameworks out of the box.

Some of the best QA automation tools powered by AI available today are Selenium, Code Intelligence, Functionize, Testsigma, Katalon Studio, Applitools, TestCraft, Testim, Mabl, Watir, TestRigor, and ACCELQ.

Each tool specializes in different areas of software testing, from functional and regression testing to performance and usability assessments. To choose the right tool, businesses should evaluate:

  • Specific testing needs: Functional, performance, security, or accessibility testing.
  • Integration & compatibility: Whether the tool aligns with current test frameworks.
  • Scalability: Ability to handle growing testing demands.
  • Ease of use & maintenance: Learning curve, automation efficiency, and long-term viability.

Also read: Top 10 trusted automation testing tools for your business

Step 3. Measure performance and refine

If a business chooses to develop an in-house AI testing tool, it must then be integrated into the existing test infrastructure for smooth workflows. Once incorporated, the next step is to track performance to assess its effectiveness and identify areas for improvement.

Here are 7 key performance metrics to monitor:

  • Test execution coverage
  • Test execution rate
  • Defect density
  • Test failure rate
  • Defect leakage
  • Defect resolution time
  • Test efficiency

Learn more: Essential QA metrics with examples to navigate software success

Following that, companies need to use performance insights to refine their AI software testing tools or adjust their software testing strategies accordingly. Fine-tuning algorithms and reconfiguring workflows are some typical actions to take for optimal AI-driven testing results.

Adopt AI in software testing with LQA

Challenges of AI in Software Testing

Challenges of AI in software testing

Challenges of AI in software testing

  • Lack of quality data

AI models need large volumes of high-quality data to make accurate predictions and generate meaningful results.

But, in software testing, gathering sufficient and properly labeled data can be a huge challenge.

If the data used to train AI models is incomplete, inconsistent, or poorly structured, the AI tool may produce inaccurate results or fail to identify edge cases.

These data limitations can also hinder the AI’s ability to predict bugs effectively, resulting in missed defects or false positives.

The need for continuous data management and governance is crucial to make sure AI models can function at their full potential.

  • Lack of transparency

One of the key challenges with advanced AI models, particularly deep learning systems, is their “black-box” nature. 

These models often do not provide clear explanations about how they arrive at specific conclusions or decisions. For example, testers may find it difficult to understand why an AI model flags a particular bug, prioritizes certain test cases, or chooses a specific path in test execution.

This lack of transparency can create trust issues among testing teams, who may hesitate to rely on AI-generated insights without clear explanations.

Plus, without transparency, it becomes difficult for teams to troubleshoot or fine-tune AI predictions, which may ultimately slow down the adoption of AI-driven testing.

  • Integration bottlenecks

Integrating AI-based testing tools with existing testing frameworks and workflows can be a complex and time-consuming process.

Many organizations already use well-established DevOps pipelines, CI/CD workflows, and manual testing protocols.

Introducing AI tools into these processes often requires significant customization for smooth interaction with legacy systems.

In some cases, AI tools for testing may need to be completely reconfigured to function within a company’s existing infrastructure. This can lead to delays in deployment and require extra resources, especially in large, established organizations where systems are deeply entrenched.

As a result, businesses must carefully evaluate the compatibility of AI tools with their existing processes to minimize friction and maximize efficiency.

  • Skill gaps

Another major challenge is the shortage of in-house expertise in AI and ML. Successful implementation of AI in testing software demands not only a basic understanding of AI principles but also advanced knowledge of data analysis, model training, and optimization.

Many traditional QA professionals may not have the skills necessary to configure, refine, or interpret AI models, making the integration of AI tools a steep learning curve for existing teams.

Companies may thus need to invest in training or hire specialists in AI and ML to bridge this skills gap.

Learn more: Develop an effective IT outsourcing strategy

  • Regulatory and compliance concerns

Industries such as finance, healthcare, and aviation are governed by stringent regulations that impose strict rules on data security, privacy, and the transparency of automated systems.

AI models, particularly those used in testing, must be configured to adhere to these industry-specific standards.

For example, AI tools used in healthcare software testing must comply with HIPAA regulations to protect sensitive patient data.

These regulatory concerns can complicate AI adoption, as businesses may need to have their AI tools meet compliance standards before they can be deployed for testing.

  • Ethical and bias concerns

AI models learn from historical data, which means they are vulnerable to biases present in that data.

If the data used to train AI models is skewed or unrepresentative, it can result in biased predictions or unfair test prioritization.

To mitigate these risks, it’s essential to regularly audit AI models and train them with diverse and representative data.

FAQs about AI in Software Testing

How is AI testing different from manual software testing?

AI testing outperforms manual testing in speed, accuracy, and scalability. While manual testing is time-consuming, prone to human errors, and limited in coverage, AI testing executes thousands of tests quickly with consistent results and broader coverage. AI testing also reduces long-term costs through automation, offering self-healing scripts that adapt to software changes. In contrast, manual testing requires frequent updates and more resources, making it less suitable for large-scale projects.

How is AI used in software testing?

AI is used in software testing to automate key processes such as test case generation, test data creation, and issue identification. It supports continuous testing in DevOps and CI/CD pipelines, delivering rapid feedback and smoother workflows. AI also helps maintain tests by automatically adapting to changes in the application and performs visual testing to detect UI inconsistencies. This leads to improved efficiency, faster execution, and higher accuracy in defect identification.

Will AI take over QA?

No, AI will not replace QA testers but will enhance their work. While AI can automate repetitive tasks, detect patterns, and even predict defects, software quality assurance goes beyond just running tests, it requires critical thinking, creativity, and contextual understanding, which are human strengths.

Ready to Take Software Testing to the Next Level with AI?

There is no doubt that AI has transformed software testing – from automated test cases and test data generation to continuous testing within DevOps and CI/CD pipelines.

Implementing AI in software testing starts with identifying key areas for improvement, then choosing between custom-built solutions or proprietary tools, and ends with continuously measuring performance against defined KPIs.

With that being said, successful software testing with AI isn’t without challenges. Issues like data quality, transparency, integration, and skill gaps can hinder progress. That’s why organizations must proactively address these obstacles for a smooth transition to AI-driven testing.

At LQA, our team of experienced testers combines well-established QA processes with innovative AI-infused capabilities. We use cutting-edge AI testing tools to seamlessly integrate intelligent automation into our systems, bringing unprecedented accuracy and operational efficiency.

Reach out to LQA today to empower your software testing strategy and drive quality to the next level.

Adopt AI in software testing with LQA


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How Much Does Software Testing Cost and How to Optimize It?

The need for stringent quality control in software development is undeniable since software defects can disrupt interconnected systems and trigger major malfunctions, leading to significant financial losses and damaging a brand’s reputation.

Consider high-profile incidents such as Nissan’s recall of over 1 million vehicles due to a fault in airbag sensor software or the software glitch that led to the failure of a $1.2 billion military satellite launch. In fact, according to the Consortium for Information and Software Quality, poor software quality costs US’ companies over $2.08 trillion annually.

Despite the clear need for effective quality control, many organizations find its cost to be a major obstacle. Indeed, a global survey of IT executives reveals that over half of the respondents view software testing cost as their biggest challenge. No wonder, companies increasingly look for solutions to reduce these costs without sacrificing quality.

In this article, we’ll discuss software testing cost in detail, from its key drivers and estimated amounts to effective ways to cut expenses wisely.

Let’s dive right in!

4 Common Cost Drivers In Software Testing

A 2019 survey of CIOs and senior technology professionals found that software testing can consume between 15% and 25% of a project’s budget, with the average cost hovering around 23%.

So, what drives these substantial costs in software testing? Read on to find out.

Common Cost Drivers In Software Testing

4 Common Cost Drivers In Software Testing

Project complexity

First and foremost, the complexity of a software project is a key determinant of testing costs.

Clearly, simple projects may require only minimal testing, whereas complex, multifaceted applications demand more extensive testing efforts. This is due to the fact that complex projects usually feature intricate codebases, numerous integration points, and a wide range of functionalities.

Testing methodology

The chosen testing methodology also plays a big role in defining testing costs.

Various methodologies, such as functional testing, non-functional testing, manual, and automated testing, carry different cost implications.

Automated testing, while efficient, requires an upfront investment in tools and scripting but can save time and resources in the long run since it can quickly and accurately execute repetitive test cases.

On the other hand, manual testing might be more cost-effective for smaller projects with limited testing requirements, yet may still incur ongoing expenses.

Dig deeper: Automation testing vs. manual testing: Which is the cost-effective solution for your firm?

Testing team

The testing team’s type and size are also big cost factors. This includes choosing between an in-house and outsourced team, as well as considering the number and expertise of the company’s testing professionals.

An in-house team requires budgeting for salaries, benefits, and training to ensure they have the necessary skills and expertise. Alternatively, outsourcing to third-party providers or working with freelance testers can reduce fixed labor costs but may introduce additional considerations like contract fees and potential language or time zone differences.

Learn more: 6 reasons to choose software testing outsourcing

Regarding team size and skills, obviously, larger teams or those with more experienced testers demand higher costs compared to smaller teams or those with less experienced staff.

Testing tools and infrastructure

Another factor that significantly contributes to the overall cost of software testing is testing tools and infrastructure.

Tools such as test management software, test automation frameworks, and performance testing tools come with their own expenses, from software licenses, training, and ongoing maintenance, to support fees.

For further insights, consider these resources:

As for testing infrastructure, it refers to the environment a company establishes to perform its quality assurance (QA) work efficiently. This includes hardware, virtual machines, and cloud services, all of which add up to the overall QA budget.

8 Key Elements That Increase Software Testing Expenses

Even with a well-planned budget, unexpected costs might still emerge, greatly increasing the expenses of software testing.

Below are 8 major elements that may cause a company’s testing expenses to rise:

Key Elements That Increase Software Testing Expenses

8 Key Elements That Increase Software Testing Expenses

  • Rewriting programs: When errors and bugs are detected in software, the code units containing these issues need to be rewritten. This process can extend both the time and cost associated with software testing.
  • System recovery: Failures during testing or software bugs can result in substantial expenditures related to system recovery. This includes restoring system functionality, troubleshooting issues, and minimizing downtime.
  • Error resolution: The process of identifying and resolving bugs, which often requires specialized resources, extensive testing, and iterative problem-solving, can add new costs to the testing budget.
  • Data re-entry: Inaccuracies found during testing often necessitate data re-entry, further consuming time and resources.
  • Operational downtime: System failures and errors can disrupt operational efficiency, leading to downtime that causes additional costs for troubleshooting and repairs.
  • Strategic analysis sessions: Strategic analysis meetings are necessary for evaluating testing strategies and making informed decisions. However, these sessions also contribute to overall testing costs through personnel, time, and resource expenditures.
  • Error tracing: Difficulty in pinpointing the root cause of software issues can lengthen testing efforts and inflate costs. This involves tracing errors back to their source, investigating dependencies, and implementing solutions accordingly.
  • Iterative testing: Ensuring that bug fixes do not introduce new issues often requires multiple testing rounds, known as iterative testing. Each iteration extends the testing timeline and budget as testers verify fixes and guarantee overall system stability.

How Much Does Software Testing Cost?

So, what’s the cost of software testing in the total development cost exactly?

It comes as no surprise that there’s no fixed cost of software testing since it varies based on lots of factors outlined above.

But here’s a quick breakdown of software testing cost estimation, based on location, testing type, and testing role:

  • Cost estimation of QA testers based on location
Location Rates
USA $35 to $45/ hour
UK $20 to $30/ hour
Ukraine $25 to $35/ hour
India $10 to $15/ hour
Vietnam $8 to $15/ hour

Learn more: Top 10 software testing companies in Vietnam in 2022

  • QA tester cost estimation based on type of testing
Type of testing Rates
Functional testing $15 to $30/ hour
Compatibility testing $15 to $30/ hour
Automation testing $20 to $35/ hour
Performance testing $20 to $35/ hour
Security testing $25 to $45/ hour
  • QA tester cost estimation based on their role
Type of tester Rates
Quality assurance engineer $25 to $30/ hour
Quality assurance analyst $20 to $25/ hour
Test engineer $25 to $30/ hour
Senior quality assurance engineer $40 to $45/ hour
Automation test engineer $30 to $35/ hour

How To Reduce Software Testing Costs?

Since many companies are questioning how to reduce the cost of software testing, we’ve compiled a list of top 8 practical best practices to help minimize these costs without compromising quality and results. Check them out below!

How To Reduce Software Testing Costs

How To Reduce Software Testing Costs?

Embrace early and frequent testing

Testing should be an ongoing task throughout the development phase, not just at the project’s end.

Early and frequent testing helps companies detect and resolve bugs efficiently before they escalate into serious issues later on. Plus, post-release bugs are more detrimental and costly to fix, so addressing them early helps maintain code quality and control expenses.

Prioritize test automation

Test automation utilizes specialized software to execute test cases automatically, reducing the reliance on manual testing.

In fact, according to Venture Beat, 97% of software companies have already employed some level of automated testing to streamline repetitive, time-consuming QA tasks.

Although implementing test automation involves initial costs for tool selection, script development, and training, it ultimately leads to significant time and cost savings in the long term, particularly in projects requiring frequent updates or regression testing.

Learn more: Benefits of test automation: Efficiency, accuracy, speed, and ROI

Apply test-driven development

Test-driven development (TDD) refers to writing unit tests before coding. This proactive approach helps identify and address functionality issues early in the development process.

TDD offers several benefits, including cleaner code refactoring, stronger documentation, less debugging rework, improved code readability, and better architecture. Collectively, these advantages help reduce costs and enhance efficiency.

Consider risk-based testing

Risk-based testing prioritizes testing activities based on the risk of failure and the importance of each function.

By focusing on high-risk areas, this approach simplifies test planning and preparation according to the possibility of risks, which not only improves productivity but also makes the testing process more cost-effective.

Implement continuous testing and DevOps

DevOps focuses on combining development and operations, with testing embedded throughout the software development life cycle (SDLC).

When integrating testing into the DevOps pipeline like that, businesses can automate and execute tests continuously as new code is developed and integrated, thereby minimizing the need for expensive post-development testing phases.

Use modern tools for UI testing

Automating visual regression testing with modern, low-code solutions is an effective approach for UI testing.

These tools harness advanced image comparison, analyze and verify document object model (DOM) structure, on-page elements, and handle timeouts automatically. Thus, they allow for rapid UI tests – often in under five minutes – without requiring extensive coding.

In the long run, this practice saves considerable resources, reduces communication gaps among developers, analysts, testers, and enhances the development process’ overall efficiency.

Account for hidden costs

Despite efforts to manage and reduce software testing expenses, unexpected hidden costs can still arise.

For instance, software products with unique functionalities often require specialized testing tools and techniques. In such instances, QA teams may need to acquire new tools or learn specific methodologies, which can incur additional expenses.

Infrastructure costs can also contribute to hidden costs, including fees for paid and open-source software used in automated testing, as well as charges for cloud services, databases, and servers.

Furthermore, updates to testing tools might cause issues with existing code, necessitating extra time and resources from QA engineers.

Outsource software testers

For companies lacking the necessary personnel, skills, time, or resources for effective in-house testing, outsourcing is a viable alternative.

Outsourcing enables access to a broader pool of skilled testers, specialized expertise, and cost efficiencies, particularly in regions with lower labor costs, such as Vietnam.

However, it’s important for businesses to carefully evaluate potential outsourcing partners, establish clear communication channels, and define service-level agreements (SLAs) to ensure the quality of testing services.

For guidance on selecting the right software testing outsourcing partner, check out our resources on the subject:

At LQA – Lotus Quality Assurance, we offer a wide range of testing services, from software and hardware integration testing, mobile application testing, automation testing, web application testing, to embedded software testing and quality assurance consultation. Our tailored testing models are designed to enhance software quality across various industries.

Contact LQA for reliable and cost-effective software testing

4 Main Categories of Software Testing Costs

Software testing expenses generally fall into four primary categories:

4 Main Categories of Software Testing Costs

4 Main Categories of Software Testing Costs

  • Prevention costs

Prevention costs refer to proactive investments aimed at avoiding defects in the software. These costs typically include training developers to create maintainable and testable code or hiring developers with these skills. Investing in prevention helps minimize the likelihood of defects occurring in the first place.

  • Detection costs

Detection costs are related to developing and executing test cases, as well as setting up environments to identify bugs. This involves creating, running tests, and simulating real-world scenarios to uncover issues early. Investing in detection plays a big role in finding and addressing problems before they escalate, helping prevent more severe issues later on.

  • Internal failure costs

These costs are incurred when defects are found and corrected before the product is delivered. They encompass the resources and efforts needed to debug, rework code, and conduct additional testing. While addressing bugs internally helps prevent issues from reaching end users, it still causes significant expenses.

  • External failure costs

External failure costs arise when technical issues occur after the product has been delivered due to compromised quality. External failure costs can be substantial, covering customer support, warranty claims, product recalls, and potential damage to the company’s reputation.

In general, the cost of defects in software testing accounts for a major portion of the total testing expenses, even if no bugs are found. Ensuring these faults are addressed before product delivery is of great importance for saving time, reducing costs, and maintaining a company’s reputation. By carefully planning and evaluating testing activities across these categories, organizations can develop a robust testing strategy that ensures maximum confidence in the final product.

FAQs about Software Testing Cost

Is performing software testing necessary?

Absolutely! Software testing is essential for identifying and eliminating costly errors that could adversely affect both performance and user experience. Effective testing also covers security assessments to detect and address vulnerabilities, which prevents customer dissatisfaction, business loss, and damage to the brand’s reputation.

How to estimate the cost of software testing?

To estimate the cost of software testing, companies need to break down expenses into key categories for clearer budget allocation.

These categories typically include:

  • Personnel costs: This covers the salaries, benefits, and training expenses for testing team members, including testers, test managers, and automation engineers.
  • Infrastructure costs: These costs encompass hardware, software, and cloud services needed for testing activities, such as server hardware, virtual machines, test environments, and third-party services.
  • Tooling costs: For smaller projects, open-source testing tools may suffice, while larger projects might require premium tool suites, leading to higher expenses.

How much time do software testers need to test software solutions?

The duration of software testing projects varies based on lots of factors, from project requirements, the software’s type and complexity, to features and functionalities included and the testing team’s size.

Final Thoughts about Software Testing Cost

Software testing is a pivotal phase in the SDLC, and understanding its costs can be complex without precise project requirements and a clearly defined scope. Once the technology stack and project scope are established, organizations can better estimate their software testing costs.

For effective software testing cost reduction, companies can explore several strategies. Some of them are implementing early and frequent testing, leveraging test automation, adopting risk-based testing, and integrating testing into the DevOps pipeline. Additionally, outsourcing testing can offer significant cost benefits.

At LQA, we provide comprehensive software testing solutions designed to be both high-quality and cost-effective. Rest assured that your software is free of bugs, user-friendly, secure, and ready for successful deployment.

Contact LQA for reliable and cost-effective software testing

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Understanding Agile Testing: Life Cycle, Strategy, and More

Agile software development adopts an incremental approach to building software, and agile testing methodology follows suit by incrementally testing features as they are developed. Despite agile’s widespread adoption—reportedly used by 71% of companies globally—many organizations, especially those in regulated industries needing formal documentation and traceability, still rely on waterfall or hybrid development models. Meanwhile, some teams are currently transitioning to agile methodologies.

No matter where your organization stands in the agile journey, this article aims to provide a comprehensive understanding of agile testing fundamentals, from definition, advantages, and life cycle, to effective strategy.

Without further ado, let’s dive right into it!

What is Agile Testing?

Agile testing is a form of software testing that follows agile software development principles. It emphasizes continuous testing throughout the software’s development life cycle (SDLC). Essentially, whenever there is an update to the software code, the agile testing team promptly verifies its functionality to ensure ongoing quality assurance.

What is Agile Testing

What is Agile Testing

In traditional development, testing occurred separately after the coding phase.

In agile, however, testing is an ongoing process, positioning testers between product owners and developers. This arrangement creates a continuous feedback loop, aiding developers in refining their code.

Two key components of agile software testing are continuous integration and continuous delivery.

Continuous integration involves developers integrating their code changes into a shared repository multiple times a day. Meanwhile, continuous delivery ensures that any change passing all tests is automatically deployed to production.

The primary motivation for adopting agile methodology in software testing is its cost and time efficiency. By relying on regular feedback from end users, agile testing addresses a common issue where software teams might misinterpret features and develop solutions that do not meet user requirements. This approach ensures that the final product closely aligns with user needs and expectations.

Agile Testing Life Cycle       

The testing life cycle in agile operates in sync with the overall agile software development life cycle, focusing on continuous testing, collaboration, and enhancement.

Essentially, it comprises 5 key phases, with objectives outlined below:

Agile Testing Life Cycle

Agile Testing Life Cycle

Test planning

  • Initial preparation: At the outset of a project is agile test planning, with testers working closely with product owners, developers, and stakeholders to fully grasp project requirements and user stories.
  • User story analysis: Testers examine user stories to define acceptance criteria and establish test scenarios, ensuring alignment with anticipated user behavior and business goals.
  • Test strategy: Based on the analysis, testers devise a comprehensive test strategy that specifies test types (unit, integration, acceptance, etc.,), tools, and methodologies to be employed.
  • Test estimation: For effective test planning, it’s necessary for your team to estimate testing efforts and resources required to successfully implement each sprint of the strategy.

Check out How to create a test plan: Components, steps and template for further details.

Daily scrums (stand-ups)

  • Collaborative planning: Daily scrum meetings, also known as stand-ups, facilitate synchronized efforts between development and testing teams, enabling them to review progress and plan tasks collaboratively.
  • Difficulty identification: Testers use stand-ups to raise testing obstacles, such as resource limitations and technical issues, that may impact sprint goals.
  • Adaptation: Stand-ups provide an opportunity to adapt testing strategies based on changes in user stories or project priorities decided in the sprint planning meeting.

Release readiness

  • Incremental testing: Agile encourages frequent releases of the product’s potentially shippable increments. Release readiness testing ensures each increment meets stringent quality standards and is deployment-ready.
  • Regression testing: Prior to release, regression testing in agile is conducted to validate that new features and modifications do not adversely impact existing functionalities.
  • User acceptance testing (UAT): Stakeholders engage in UAT to verify software compliance with business requirements and user expectations before final deployment.

Test agility review

  • Continuous evaluation: This refers to regular review sessions throughout the agile testing life cycle to assess the agility of testing processes and their adaptability to evolving requirements.
  • Quality assessment: Test agility reviews help gauge the effectiveness of test cases in identifying defects early in the development phase.

Learn more: Guide to 5 test case design techniques with examples

  • Feedback incorporation: Stakeholder, customer, and team feedback is all integrated to refine testing approaches, aiming to enhance overall quality assurance practices.

Impact assessment

  • Change management: Change management in agile involves frequent adaptations to requirements, scope, or priorities. The impact assessment examines how these changes impact existing test cases, scripts, and overall testing efforts.
  • Risk analysis: Testers examine possible risks associated with changes to effectively prioritize testing tasks and minimize risks.
  • Communication: Impact assessment necessitates clear communication among development, testing, and business teams to ensure everyone comprehends the implications of changes on project timelines and quality goals.

4 Essential Components of an Agile Testing Strategy

In traditional testing, the process heavily relies on comprehensive documentation.

However, the testing process in agile prioritizes software delivery over extensive documentation, allowing testers to adapt quickly to changing requirements.

Therefore, instead of detailing every activity, teams should develop a test strategy that outlines the overall approach, guidelines, and objectives.

While there is no one-size-fits-all formula due to varying team backgrounds and resources, here are 4 key elements that should be included in an agile testing strategy.

Essential Components of an Agile Testing Strategy

Essential Components of an Agile Testing Strategy

Documentation

The first and foremost element of an agile testing strategy is documentation.

The key task here is finding the right balance—providing enough detail to serve its purpose without overloading or missing important information.

Since testing in agile is iterative, quality assurance (QA) teams must create and update a test plan for each new feature and sprint.

Generally, the aim of this plan is to minimize unnecessary information while capturing essential details needed by stakeholders and testers to effectively execute the plan.

A one-page agile test plan template typically includes the following sections:

One-page agile test plan template

One-page agile test plan template

Sprint planning 

In agile testing, it’s crucial for a team to plan their work within time-boxed sprints.

Timeboxing helps define the maximum duration allocated for each sprint, creating a structured framework for iterative development.

Within Scrum – a common agile framework, a sprint typically lasts for one month or less, during which the team aims to achieve predefined sprint goals.

This time-bound approach sets a rhythm for consistent progress and adaptability, fostering a collaborative and responsive environment that aligns with agile principles.

Apart from sprint duration, during sprint planning, a few key things should be factored in:

  • Test objectives based on user stories
  • Test scope and timeline
  • Test types, techniques, data, and environments

Test automation

Test automation is integral to agile testing as it enables teams to quickly keep pace with the rapid development cycles of agile methodology.

But, one important question arises: which tests should be automated first?

Below is a list of questions to help you prioritize better:

  • Will the test be repeated?
  • Is it a high-priority test or feature?
  • Does the test need to run with multiple datasets or paths?
  • Is it a regression or smoke test?
  • Can it be automated with the existing tech stack?
  • Is the area being tested prone to change?
  • Can the tests be executed in parallel or only sequentially?
  • How expensive or complicated is the required test architecture?

Deciding when to automate tests during sprints is another crucial question to ask. Basically, there are two main approaches:

  • Concurrent execution: Automating tests alongside feature development ensures immediate availability of tests, facilitating early bug detection and prompt feedback.
  • Alternating efforts: Automating tests in subsequent sprints following feature development allows developers to focus on new features without interruption but may delay the availability of agile automated testing.

The choice between these approaches should depend on your team dynamics, project timelines, feature complexity, team skill sets, and project requirements. In fact, agile teams may opt for one approach only or a hybrid based on project context and specific needs.

Dig deeper into automation testing:

Risk management

Conducting thorough risk analysis before executing tests boosts the efficiency of agile testing, making sure that resources are allocated effectively and potential pitfalls are mitigated beforehand.

Essentially, tests with higher risk implications require greater attention, time, and effort from your QA team. Moreover, specific tests crucial to certain features must be prioritized during sprint planning.

Contact LQA for expert agile testing solutions

Contact LQA for expert agile testing solutions

Agile Testing Quadrants Explained

The agile testing quadrant, developed by Brian Marick, is a framework that divides the agile testing methodology into four fundamental quadrants.

By categorizing tests into easily understood dimensions, the agile testing quadrant enables effective collaboration and clarity in the testing process, facilitating swift and high-quality product delivery.

At its heart, the framework categorizes tests along two dimensions:

  • Tests that support programming or the team vs. tests that critique the product
  • Tests that are technology-facing vs. tests that are business-facing

But first, here’s a quick explanation of these terms:

  • Tests that support the team: These tests help the team build and modify the application confidently.
  • Tests that critique the product: These tests identify shortcomings in the product or feature.
  • Tests that are technology-facing: These are written from a developer’s perspective, using technical terms.
  • Tests that are business-facing: These are written from a business perspective, using business terminology.

Agile Testing Quadrants Explained

Agile Testing Quadrants Explained

Quadrant 1: Technology-facing tests that support the team

Quadrant 1 includes technology-driven tests performed to support the development team. These tests, primarily automated, focus on internal code quality and provide developers with rapid feedback.

Common tests in this quadrant are:

  • Unit tests
  • Integration/API tests
  • Component tests

These tests are quick to execute, easy to maintain, and essential for Continuous Integration and Continuous Deployment (CI/CD) environments.

Some example frameworks and agile testing tools used in this quadrant are Junit, Nunit, Xunit, RestSharp, RestAssured, Jenkins, Visual Studio, Eclipse, etc.

Quadrant 1 Technology-facing tests that support the team

Quadrant 1: Technology-facing tests that support the team

Quadrant 2: Business-facing tests that support the team

Quadrant 2 involves business-facing tests aimed at supporting the development team. It blends both automated and manual testing approaches, seeking to validate functionalities against specified business requirements.

Tests in Q2 include:

Here, skilled testers collaborate closely with stakeholders and clients to ensure alignment with business goals.

Tools like BDD Cucumber, Specflow, Selenium, and Protractor can help facilitate the efficient execution of tests in this quadrant.

Quadrant 2 Business-facing tests that support the team

Quadrant 2: Business-facing tests that support the team

Quadrant 3: Business-facing tests that critique the product

Quadrant 3 comprises tests that assess the product from both a business and user acceptance perspective. These tests are crucial for verifying the application against user requirements and expectations.

Manual agile testing methods are predominantly used in this quadrant to conduct:

  • Exploratory testing
  • Scenario-based testing
  • Usability testing
  • User acceptance testing
  • Demos and alpha/beta testing

Interestingly, during UAT, testers often collaborate directly with customers to guarantee the product meets user needs effectively.

Quadrant 3 Business-facing tests that critique the product

Quadrant 3: Business-facing tests that critique the product

Quadrant 4: Technology-facing tests that critique the product

Quadrant 4 focuses on technology-driven tests that critique the product’s non-functional aspects, covering from performance, load, stress, scalability, and reliability to compatibility and security testing.

Automation tools to run such non-functional tests include Jmeter, Taurus, Blazemeter, BrowserStack, and OWASP ZAP.

All in all, these four quadrants serve as a flexible framework for your team to efficiently plan testing activities. However, it’s worth noting that there are no strict rules dictating the order in which quadrants should be applied and teams should feel free to adjust based on project requirements, priorities, and risks.

Quadrant 4 Technology-facing tests that critique the product

Quadrant 4: Technology-facing tests that critique the product

Advantages of Agile Testing

Agile testing offers a host of benefits that seamlessly integrate with the agile development methodology.

Advantages of Agile Testing

Advantages of Agile Testing

  • Shorter release cycles

Unlike traditional development cycles, where products are released only after all phases are complete, agile testing integrates development and testing continuously. This approach ensures that products move swiftly from development to deployment, staying relevant in a rapidly evolving market.

  • Higher quality end product

Agile testing enables teams to identify and fix defects early in the development process, reducing the likelihood of bugs making it to the final release.

  • Improved operational efficiency

Agile testing eliminates idle time experienced in linear development models, where testers often wait for projects to reach the testing phase. By parallelizing testing with development, agile maximizes productivity, enabling more tasks to be accomplished in less time.

  • Enhanced end-user satisfaction

Agile testing prioritizes rapid delivery of solutions, meeting customer demands for timely releases. Continuous improvement cycles also ensure that applications evolve to better meet user expectations and enhance overall customer experience.

FAQs about Agile Testing

What is agile methodology in testing?

Agile testing is a form of software testing that follows agile software development principles. It emphasizes continuous testing throughout the software’s development lifecycle. Essentially, whenever there is an update to the software code, the testing team promptly verifies its functionality to ensure ongoing quality assurance.

What are primary principles of agile testing?

When implementing agile testing, teams must uphold several core principles as follows:

  • Continuous feedback
  • Customer satisfaction
  • Open communication
  • Simplicity
  • Adaptability
  • Collaboration

What are some common types of testing in agile?

Five of the most widely adopted agile testing methodologies in current practice are:

  • Test-driven development
  • Acceptance test-driven development
  • Behavior-driven development
  • Exploratory testing
  • Session-based testing

What are key testing metrics in agile?

Agile testing metrics help gauge the quality and effectiveness of testing efforts. Here are some of the most important metrics to consider:

  • Test coverage
  • Defect density
  • Test execution progress
  • Test execution efficiency
  • Cycle time
  • Defect turnaround time
  • Customer satisfaction
  • Agile test velocity
  • Escaped defects

Final Thoughts about Agile Testing

Agile testing aligns closely with agile software development principles, embracing continuous testing throughout the software lifecycle. It enhances product quality and enables shorter release cycles, fostering customer satisfaction through reliable, frequent releases.

While strategies may vary based on team backgrounds and resources, 4 essential elements that should guide agile testing strategies are documentation, sprint planning, test automation, and risk management.

Also, applying the agile testing quadrants framework can further streamline your team’s implementation.

At LTS Group, we boast a robust track record in agile testing—from mobile and web applications to embedded software and automation testing. Our expertise is validated by international certifications such as ISTQB, PMP, and ISO, underscoring our commitment to excellence in software testing.

Should you have any projects in need of agile testing services, drop LQA a line now!

Contact LQA for expert agile testing solutions

Contact LQA for expert agile testing solutions

 

IT Outsourcing

What Is Penetration Testing? | A Comprehensive Guide

Understanding your strengths, vulnerabilities, and where your team should allocate time is crucial in the realm of cybersecurity. However, determining these factors and prioritizing tasks can be challenging. So, conducting penetration testing is a highly effective approach to gaining clarity.

Penetration testing is a solid basis for any security team. It excels at pinpointing what to focus on and proposing initiatives for your team’s future endeavors. So, what exactly is pen testing, and why is it so important? The following article will provide further insights.

What is Penetration Testing?

A penetration test (or pentest), is a sanctioned simulation of an attack carried out on a computer system to assess its security. Penetration testers employ identical tools, methods, and procedures as actual attackers to discover and illustrate the detrimental effects of system vulnerabilities.

These tests typically simulate diverse attack types that pose potential risks to a business. They evaluate the system’s ability to resist attacks from authorized and unauthorized sources, as well as various system roles. With appropriate parameters, a pen test can delve into any system facet.

Why is Penetration Testing Important?

What Is Penetration Testing? | A Comprehensive Guide

A penetration test holds a strong significance in ensuring network security. This testing methodology enables businesses to accomplish the following objectives:

  • Uncover security vulnerabilities preemptively, beating hackers to the punch.
  • Identify gaps in information security compliance.
  • Assess the response time of the information security team, gauging how quickly  to detect breaches and minimize the impact.
  • Understand the potential real-world consequences of a data breach or cyber attack.
  • Obtain actionable guidance for remediation purposes.

Penetration testing empowers security experts to methodically assess the security of multi-tier network architectures, custom applications, web services, and other IT components.

Penatration testing services and tools provide swift visibility into high-risk areas, letting businesses build security budgeting.

Comprehensive testing of an organization’s entire IT system, a web app or a mobile app is crucial for safeguarding critical data from cyber hackers and enhancing the IT department’s responsiveness during potential attacks.

5 Phases of Penetration Testing

Penetration testers replicate the tactics employed by determined adversaries. At LQA, we adhere to a comprehensive plan that encompasses the following penetration testing process:

Phase 1 – Estimation

In the first pen testing process, we need to understand the exact number of items in scope, such as

  • HTTP requests in web application and API,
  • screens & main functions in Android / iOS application,
  • server and network devices,
  • IP addresses in systems.

Then, we build a plan based on the function severity. The ranking on a scale of A to S will be used as a criterion for customers to select items to test from the estimate list.

Phase 2 – Preparation

In this phase, we need to prepare some things before testing, including:

  • Web application information: Site name, host, system, cloud services, penetration testing type (remote, onsite), period time, environment testing.
  • Access restriction: Restricting access with IP address, basic authentication, we also need some special configured access settings.
  • Account information: Multiple permission settings, multiple accounts (username and password).
  • Various process: Assessment of functions associated with various processes and external systems.
  • Validation: Confirm other important information before testing.

Phase 3 – Penetration testing

In this phase, LQA’s testing team will:

  • Schedule penetration testing
  • Implement manual and automated testing
  • Analyze and evaluate detected vulnerability
  • Analyze and evaluate the case of threats and impacts when the vulnerability is exploited

What Is Penetration Testing? | A Comprehensive Guide

Phase 4 – Report

In the report phase, we will:

  • Send daily quick report for high-risk vulnerability detected.
  • Write a summary and technical report, then deliver the final report.

Phase 5 – Re-testing

In the last phase, LQA’s testing team will re-test the vulnerabilities after remediating programs.

After completing a successful pen-test, an ethical hacker collaborates with the target organization’s information security team to share their findings.

Typically, these findings are categorized with severity ratings, enabling the prioritization of remediation efforts. Issues with the highest ratings are addressed first to ensure effective resolution.

A business uses these findings as a foundation for conducting additional investigations, assessments, and remediation to enhance its security posture.

At this stage, decision-makers and stakeholders become actively involved, and the IT or security team establishes deadlines to ensure prompt resolution of all identified security issues.

Pen Testing Approaches

Penetration testing includes a trio of primary approaches, each equipping pen testers with specific levels of information required to execute their attacks effectively.

  • White box testing: In white box testing, the customer furnishes comprehensive system information, including accounts at various access levels. This ensures that the testing expert can band encompass system’s functionalities.
  • Black box testing: Black box penetration testing is a form of behavioral and functional testing in which testers are intentionally kept unaware of the system’s inner workings. Organizations commonly engage ethical hackers for black box testing, as it simulates real-world attacks and provides insights into the system’s vulnerabilities.
  • Gray box testing: Gray box testing combines white box and black box testing techniques. Testers are granted limited knowledge of the system, including low-level credentials, logical flow charts, and network maps. The primary objective of gray box testing is to identify potential code and functionality issues in the system.

>> Read more:

Best software testing methods to ensure top-quality applications

What Should Good Penetration Testing Include?

To ensure a robust the pen test engagement, business should conduct a thorough assessment of an organization’s attack surface.

This assessment aims to identify all conceivable entry points into the network, encompassing unsecured ports, unpatched vulnerabilities, misconfigured systems, and weak passwords.

By addressing these critical aspects, organizations can fortify their defenses against potential security breaches.

After the identification of potential entry points, the penetration tester proceeds to exploit them to gain network access. Once inside, pentesters meticulously examine the network for sensitive information, including customer data, financial records, and proprietary company secrets.

Furthermore, the tester endeavors to escalate privileges to obtain complete control over the network.

How Often Should Pen Tests Be Performed?

The frequency of conducting penetration testing varies based on several factors, yet most security experts advise performing it at least annually. This regular assessment aids in the detection of emerging vulnerabilities, including zero-day threats, ensuring proactive mitigation measures can be promptly implemented.

When planning the schedule for penetration testing, organizations should focus on the following key considerations:

  • Cyber-attack risks: Organizations with increased exposure to potential financial and reputational damage, should prioritize regular security testing to proactively prevent cyber-attacks.
  • Budget: The frequency of pen testing should align with the available budget and its flexibility. Larger companies may have the resources to conduct annual tests, while smaller businesses might opt for biennial assessments due to budget constraints.
  • Regulatory requirements: Certain industries, such as banking and healthcare, have specific regulations mandating regular penetration testing. Compliance with these regulations should guide the frequency and timing of security assessments in those organizations.

Apart from regular scheduled penetration testing, organizations should also consider conducting security tests in response to the following aspects:

  • Incorporating new network infrastructure or appliances into the network.
  • Implementing upgrades to existing applications and equipment.
  • Installing security patches.
  • Establishing new office locations.
  • Modifying end-user policies.

What are The Best Penetration Testing Tools?

Penetration testers employ a diverse range of tools to execute reconnaissance, identify vulnerabilities, and streamline essential aspects of the penetration testing process. Here are several widely used tools:

What Is Penetration Testing? | A Comprehensive Guide

  • Specialized operating systems: Penetration testers rely on specialized operating systems tailored to penetration testing and ethical hacking. 

Among these, Kali Linux stands out as the preferred choice. This open-source Linux distribution comes equipped with an array of built-in pen testing tools, including Nmap, Wireshark, and Metasploit.

  • Credential-cracking tools: In the pursuit of uncovering passwords, penetration testers leverage credential-cracking tools. These software applications employ various techniques such as encryption-breaking or launching brute-force attacks.

By using bots or scripts, these tools systematically generate and test potential passwords until a successful match is found. Prominent examples encompass Medusa, Hydra, Hashcat, and John the Ripper.

  • Port scanners: These tools enable pen testers to remotely examine devices for open and accessible ports, which can serve as potential entry points into a network. While Nmap remains the most popular port scanner, other commonly used options include Masscan and ZMap.
  • Vulnerability scanners: These scanning tools are designed to identify known vulnerabilities in systems, enabling pen testers to swiftly pinpoint potential weaknesses and entryways into a target. Notable examples of vulnerability scanners include Nessus, Core Impact, and Netsparker.

Web vulnerability scanners include a specialized category of tools within the broader realm of vulnerability scanning. These scanners specifically evaluate web applications and websites to identify potential vulnerabilities. Notable examples in this domain include Burp Suite and OWASP’s Zed Attack Proxy (ZAP).

  • Packet analyzers: Also referred to as packet sniffers, empower penetration testers to analyze network traffic by capturing and examining individual packets.

These tools provide insights into the origin, destination, and, in some cases, content of transmitted data. Prominent packet analyzers include Wireshark and tcpdump, widely recognized for their effectiveness in this domain.

  • Metasploit: On the other hand, serves as a comprehensive penetration testing framework encompassing a multitude of functionalities. Its most significant attribute lies in its ability to automate cyber attacks.

Equipped with a comprehensive library of prewritten exploit codes and payloads, Metasploit empowers penetration testers to select an exploit, assign a payload to deliver to the target system, and delegate the remaining tasks to the framework itself.

Penetration Testing Case Study

Below are two outstanding LQA’s penetration testing case studies you can refer to:

SaaS penetration testing

SaaS penetration testing

Overview

The product is a SaaS service software system that uses the Microsoft Azure cloud based on business management.

Its features aim at the user experience and business development system for small and medium enterprises.

Project information

  • Country: USA
  • Domain: ERP
  • Framework: .NET, Vue
  • Tools Involved: Burp Suite Professional

What we did

Our objective was to assess the security of the web applications by conducting a thorough penetration test aligned with the OWASP Top 10. This helped us identify and mitigate vulnerabilities to enhance the security posture.

Findings

  • Privilege Escalation
  • Account Takeover
  • Stored XSS
  • File Upload Vulnerabilities
  • Information Leakage

Achievements

We found 12 vulnerabilities, fixed 100% of severe issues, and did 1400 APIs tested.

Dental clinic management system penetration testing

Dental clinic management system penetration testing

Overview

Our client has a dental clinic management system to make appointments, bookings, check exam results, invoicing, etc.

However, their system, which was built a decade ago on outdated PHP, lacked optimized performance, sustainability, and security. So, they needed an experienced vendor to upgrade their technology stack to ensure easier maintenance and future development.

Project information

  • Country: France
  • Domain: Healthcare
  • Framework: NodeJS, React
  • Tools Involved: Burp Suite Professional

What we did

Based on our client’s requirements, we needed to assess the security of the web applications by conducting a thorough penetration test aligned with the OWASP Top 10. This helped to identify and mitigate vulnerabilities to enhance its security posture.

Findings

  • SQL Injection
  • Access Control Issues
  • Weak Authentication Mechanism
  • Information Leakage

Achievements

We found 8 vulnerabilities, fixed 100% severe issues, and did 390 APIs tested.

FAQ

How often should I run a penetration testing?

The optimal frequency of conducting penetration tests varies for each company, contingent upon factors such as the nature of its operations and its appeal to potential attackers.

In the case of highly sensitive activities, you should conduct penetration tests regularly, ideally several times per year. This approach ensures that the latest attack methods are thoroughly tested and safeguards against emerging threats.

For activities of lower sensitivity, you should perform a penetration test for each new version release or whenever significant features are added. This targeted approach focuses on assessing the security of specific updates or additions, thereby maintaining an adequate level of protection.

By tailoring the frequency of penetration tests to the unique characteristics and risk profile of each company, organizations can proactively address potential vulnerabilities and bolster their overall security posture.

I don’t have sensitive data, why would I be attacked?

No website is immune to cyberattacks, even those that may not possess sensitive data.

Hackers can have varied motivations, ranging from honing their skills and knowledge, to exploiting compromised servers for hosting malicious websites, generating profits, or even simply seeking amusement.

Among the most frequently targeted websites are those built on the WordPress platform. These sites often face automated attacks on a massive scale, targeting tens of thousands of websites.

The victims of such attacks are not specifically singled out, but rather fall victim to the widespread and indiscriminate nature of these automated campaigns.

How much does a pentest cost?

The required time and budget for testing depend on the scope and level of thoroughness desired.

If comprehensive and exhaustive testing is sought, it is natural if you expect a longer duration and, consequently, a higher financial investment.

You can contact LQA to have further discussion and detailed quotation.

What is the most important step in a penetration testing?

The estimation phase holds significant importance in a penetration test as it serves as the foundation for gathering crucial information about the target. This stage is particularly critical since having a comprehensive understanding of the target significantly simplifies the gaining access process.

What are the risks of penetration testing?

Improperly executed penetration tests can potentially result in significant damage, leading to adverse consequences. For instance, servers may experience crashes, essential data might be corrupted or compromised, and the overall aftermath could be a criminal hack.

>> Read more:

Conclusion

In light of the continuously advancing and sophisticated nature of cyberattacks, we can’t overstate the significance of regular penetration testing in organizations. These tests play a vital role in identifying vulnerabilities, patching security loopholes, and validating the effectiveness of cyber controls.

By conducting pen testing methodology, organizations adopt a proactive approach to fortifying their infrastructure, software applications, and even their personnel against potential threats.

This proactive stance motivates the development of robust and continuous security measures that can adapt to the ever-changing cyber threat landscape, ensuring the organization remains resilient in the face of evolving challenges.

Leveraging the expertise of LQA, companies can establish a comprehensive defense against both recognized and unforeseen threats. By enlisting their support, you can proactively prevent, identify, and mitigate potential risks.

If you are eager to implement penetration testing, we encourage you to reach out to LQA. Contact us today for further discussion!

Mobile App

Software Application Testing: Different Types & How to Do?

In the ever-evolving landscape of technology, application testing & quality assurance stands as crucial pillars for the success of any software product.

This article delves into the fundamentals of application testing, including its definition, various testing types, and how to test a software application.

We aim to provide a comprehensive guide that will assist you in understanding and optimizing your application testing process, ensuring the delivery of high-quality software products. Let’s get cracking!

       

What is Software Application Testing?

Software application testing involves using testing scripts, tools, or frameworks to detect bugs, errors, and issues in software applications.

It is a crucial phase in every software development life cycle (SDLC), helping to identify and resolve issues early on, ensuring application quality, and avoiding costly damage.

what is software application testing?

What is Software Application Testing?

 

According to CISQ, poor software cost the U.S. economy $2.08 trillion in 2020 alone. VentureBeat also reported that developers spend 20% of their time fixing bugs.

The costs of software bugs extend beyond the direct financial expenses that a software developer must make to fix the bugs. They lead to productivity loss due to worker downtime, disruptions, and delays. Additionally, they can harm a company’s reputation, indicating a lack of product quality to clients.

Moreover, bugs can introduce security risks, leading to cyberattacks, data breaches, and financial theft.

For instance, Starbucks was forced to close about 60% of its stores in the U.S. and Canada, due to a software bug in its POS system. In 1994, a China Airlines Airbus A300 crashed due to a software error, resulting in the loss of 264 lives.

These statistics and examples emphasize the importance of application testing. However, implementing an effective QA process requires essential steps and a comprehensive testing plan.

 

Software Application Testing Process: How to Test a Software Application?

A thorough software testing process requires well-defined stages. Here are the key steps:

software application testing process

Software Application Testing Process

Requirement analysis

During this initial phase, the testing team gathers and analyzes the testing requirements to understand the scope and objectives of the testing process.

Clear test objectives are defined based on this analysis, aligning the testing efforts with the overall project goals. 

This step is crucial for customizing the software testing lifecycle (STLC) and determining the appropriate testing approaches.

 

Test planning

After analyzing requirements, the next step is to determine the test plan strategy. Resources allocation, software testing tools, test environment, test limitations, and the testing timeline are determined during this phase:

  • Resource allocation: Determining the resources required for testing, including human resources, testing tools, and infrastructure.
  • Test environment setup: Creating and configuring the test environment to mimic the production environment as closely as possible.
  • Test limitations: Identifying any constraints or limitations that may impact testing, such as time, budget, or technical constraints.
  • Testing timeline: Establishing a timeline for testing activities, including milestones and deadlines.
  • QA metrics: Determining testing KPIs and expected results to ensure the effectiveness of the testing process.

Check out the comprehensive test plan template for your upcoming project.

 

Test case design

In this phase, the testing team designs detailed test cases based on the identified test scenarios derived from the requirements. 

Test cases cover both positive and negative scenarios to ensure comprehensive testing coverage. The test case design phase also involves verifying and reviewing the test cases to ensure they accurately represent the desired software behavior.

For automated testing, test scripts are developed based on the test cases to automate the testing process.

 

Test execution

Test execution is where the actual testing of the software application takes place. Testers execute the predefined test cases, either manually or using automated testing tools, to validate the functionality of the software.

Input data and various conditions are simulated during this phase to assess how the software responds under different scenarios. Any defects encountered during testing are documented and reported for further analysis and resolution.

Delve deep into testing world:

 

Test cycle closure and documentation

The final step involves closing the test cycle and documenting the testing process comprehensively.

A test completion matrix is prepared to summarize test coverage, execution status, and defect metrics. Test results are analyzed to identify trends, patterns, and areas for improvement in future testing cycles.

Comprehensive documentation of test results, defects, and testing artifacts is prepared for reference and software audit purposes. Conducting a lessons-learned session helps capture insights and best practices for optimizing future testing efforts.

application testing with lqa experts

 

Software Application Test Plan (STP)

A software application test plan is a comprehensive document that serves as a roadmap for the testing process of a software application or system. It outlines the approach, scope, resources, schedule, and activities required for effective testing throughout the software development lifecycle.

A well-crafted test plan is crucial for ensuring the success, reliability, and quality of a software product. It provides a detailed guide for the testing team, ensuring that testing activities are conducted systematically and thoroughly.

software application test plan

Software Application Test Plan (STP)

 

A standard test plan for application testing should define the following key features:

  • Testing scope: Clearly define the boundaries and coverage of testing activities, including what functionalities, modules, or aspects of the application will be tested.
  • Testing objective: Pinpoint the specific goals and objectives of the testing process, such as validating functionality, performance, security, or usability aspects.
  • Testing approach: Outline the testing approach to be used, whether it’s manual testing, automated testing, or a combination of both. Define the test strategies, techniques, and methodologies to be employed.
  • Testing schedule: Establish a detailed testing schedule that includes milestones, deadlines, and phases of testing (such as unit testing, integration testing, system testing, and user acceptance testing).
  • Bug tracking and reporting: Define the process for tracking, managing, and reporting defects encountered during testing. Include details about bug severity levels, priority, resolution timelines, and communication channels for reporting issues.

In case you haven’t created a test plan before and desire to nail it the very first time, make a copy of our test plan template and tweak it until it meets your unique requirements.

By incorporating these key features into a test plan, organizations can ensure a structured and comprehensive approach to software application testing, leading to improved quality, reduced risks, and better overall software performance.

application testing with lqa experts

 

Before diving into the implementation of an application testing process, it is vital to grasp the different types of testing for a successful strategy. Application testing can be classified in various ways, encompassing methods, levels, techniques, and types. To gain a comprehensive and clear understanding of the application testing system, take a look at the infographic below.

types of testing

Types of testing

 

Application Testing Methods

There are two primary application testing methods: Manual Testing and Automation Testing. Let’s explore the key differences between Manual Testing vs Automation Testing, and understand when to use each method effectively.

Manual testing

This testing method involves human QA engineers and testers manually interacting with the software app to evaluate its functions (from writing to executing test cases).

In manual testing, QA analysts carry out tests one by one in an individual manner to identify bugs, glitches, defects, and key feature issues before the software application’s launch. As part of this process, test cases and summary error reports are developed without any automation tools.

Manual testing is often implemented in the first stage of the SDLC to test individual features, run ad-hoc testing, and assess one-time testing scenarios. 

It is the most useful for exploratory testing, UI testing, and initial testing phases when detecting usability issues and user experience problems.

 

Automation testing

This testing method utilizes tools and test scripts to automate testing efforts. In other words, specified and customized tools are implemented in the automation testing process instead of solely manual forces.

It is efficient for repetitive tests, regression testing, and performance testing. Automation testing can accelerate testing cycles, improve accuracy, and ensure consistent test coverage across multiple environments.

manual test and automation test

Manual Test and Automation Test

 

Application Testing Techniques

Black box testing

Black box testing is a software application testing technique in which testers understand what the software product is supposed to do but are unaware of its internal code structure.

Black box testing can be used for both functional and non-functional testing at multiple levels of software tests, including unit, integration, system, and acceptance. Its primary goal is to assess the software’s functionality, identify mistakes, and guarantee that it satisfies specified requirements.

 

White box testing

White box testing, or structural or code-based testing, is the process of reviewing an application’s internal code and logic. 

Testers use code coverage metrics and path coverage strategies to ensure thorough testing of code branches and functionalities. It is effective for unit testing, integration testing, and code quality assessment.

 

Gray box testing

Gray box testing is a software application testing technique in which testers have a limited understanding of an application’s internal workings.

The principal goal of gray box testing is to combine the benefits of black box testing and white box testing to assess the software product from a user perspective and enhance its overall user acceptance. It is beneficial for integration testing, usability testing, and system testing.

black box grey box and white box penetration testing differences

Black box, Grey box and White box penetration testing differences

 

 

Application Testing Levels

Unit testing

Unit testing focuses on testing individual units or components of the software in isolation. It verifies the correctness of each unit’s behavior and functionality. Unit testing is most useful during development to detect and fix defects early in the coding phase.

Integration testing

Integration testing verifies the interactions and data flow between integrated modules or systems. It ensures that integrated components work together seamlessly. Integration testing is crucial during the integration phase of SDLC to identify interface issues and communication errors.

System testing

System testing evaluates the complete and fully integrated software product to validate its compliance with system specifications. It tests end-to-end functionality and assesses system behavior under various conditions. System testing is conducted before deployment to ensure the software meets user expectations and business requirements.

User acceptance testing

User acceptance testing (UAT) ensures that the software meets user expectations and business requirements. It involves real-world scenarios and is conducted by end-users or stakeholders.  Acceptance testing is often conducted in the final stages to ensure alignment with user expectations, business goals, and readiness for production deployment.

software application testing levels

Software application testing levels

 

Types of Software Application Testing

software application testing types

Software application testing types

Functional test

Functional testing assesses whether the software application’s functions perform according to specified requirements. It verifies individual features, input/output behavior, and functional workflows.

Some common functional test types include:

  • Compatibility testing: Verifies the software’s compatibility across different devices, operating systems, browsers, and network environments to ensure consistent performance and functionality.
  • Performance testing: Assess the software’s responsiveness, scalability, stability, and resource utilization under varying workloads to ensure optimal performance and user satisfaction.
  • Security testing: Identifies vulnerabilities, weaknesses, and potential security risks within the software to protect against unauthorized access, data breaches, and other security threats.
  • GUI testing: Focuses on verifying the graphical user interface (GUI) elements, such as buttons, menus, screens, and interactions, to ensure visual consistency and proper functionality.

 

Non-functional test

Non-functional testing focuses on aspects such as security, usability, performance, scalability, and reliability of the software. It ensures that the software meets non-functional requirements and performs well under various conditions and loads.

Some common non-functional testing types implemented to ensure robust and user-friendly software include:

  • API testing: Validates the functionality, reliability, and performance of application programming interfaces (APIs) to ensure seamless communication and data exchange between software components.
  • Usability testing: Evaluates how user-friendly and intuitive the software interface is for end-users, focusing on ease of navigation, clarity of instructions, and overall user experience.
  • Load testing: Assesses how the software performs under high volumes of user activity, determining its capacity to handle peak loads and identifying any performance bottlenecks.
  • Localization testing: Verifies the software’s adaptability to different languages, regions, and cultural conventions, ensuring it functions correctly and appropriately in various local contexts.
  • Accessibility testing: Ensures the software is usable by people with disabilities, checking compliance with accessibility standards and guidelines to provide an inclusive user experience.
  • Penetration testing: Simulates cyberattacks on the software to identify security vulnerabilities, assessing its defenses against potential threats and breaches.

 

The ‘’in-between’’ testing types

In software development, several testing types bridge the gap between functional and non-functional testing, addressing aspects of both. These “in-between” testing types include:

  • Regression testing: Checks for unintended impacts on existing functionalities after code changes or updates to ensure that new features or modifications do not introduce defects or break existing functionalities.
  • Integration testing: Examines the interactions between integrated modules or components of the software, ensuring they work together as intended and correctly communicate with each other.
  • System testing: Evaluates the complete and integrated software system to verify that it meets the specified requirements, checking overall functionality, performance, and reliability.
  • User acceptance testing: Involves end-users testing the software in real-world scenarios to confirm it meets their needs and expectations, serving as the final validation before release.

 

application testing with lqa experts

Best Practices for Application Testing with LQA

With over 8 years of experience and being the pioneering independent software QA company in Vietnam, LQA is a standout entity within the LTS Group’s ecosystem, renowned for its expertise in IT quality and security assurance. We provide a complete range of application testing services, including web application testing, application security testing, mobile application testing, application penetration testing, etc.

lqa software quality assurance awards

LQA software quality assurance awards

 

With LQA, you can have the best practices in creating and implementing diverse types of application testing tailored to your business’s requirements. We stand out with:

  • Expertise in industries: Our specialized experience, validated by awards like ISTQB, PMP, and ISO, ensures efficient and exceptional outcomes.
  • Budget efficiency: Leveraging automation testing solutions, we deliver cost-effective results, benefitting from Vietnam’s low labor costs.
  • TCoE compliance: Aligning with the Testing Center of Excellence (TCoE) framework optimizes QA processes, resources, and technologies for your project.
  • Abundant IT talent: Our diverse pool of testers covers various specialties including Mobile and web app testing, Automation (Winform, Web UI, API), Performance, Pen Test, Automotive, Embedded IoT, and Game testing.
  • Advanced technology: Leveraging cutting-edge testing devices, tools, and frameworks, our team guarantees the smooth operation of your software, delivering a flawless user experience and a competitive market advantage.

lqa software testing tools

LQA robust software testing tools

 

LQA recognizes the crucial role of software quality testing in delivering top-tier software products. Our expertise and advanced testing methods enable businesses to attain robust, dependable, and high-performing software applications.

application testing with lqa experts

Frequently Asked Questions About Application Testing

What is application testing? 

Application testing refers to the process of evaluating software applications to ensure they meet specified requirements, perform as expected, and are free from defects or issues.

 

What does an application tester do?

An application tester is responsible for designing and executing test cases, identifying bugs or defects in software applications, documenting test results, and collaborating with developers to ensure issues are resolved.

 

Why is application testing required?

Application testing is required to verify that software functions correctly, meets user expectations, operates efficiently, and is reliable. It helps identify and address bugs, errors, and performance issues early in the development lifecycle, leading to higher-quality software.

 

What is computer application testing?

Computer application testing, also known as software application testing, is the process of testing software applications to validate their functionality, performance, security, usability, and other quality attributes on computer systems.

 

How to test a software application?

Testing a software application involves various stages such as requirement analysis, test planning, test case design, test execution, and test cycle closure. It includes manual testing where testers interact with the application and automated testing using testing tools and scripts to validate its behavior under different scenarios.

 

Final Thoughts About Software Application Testing

Quality assurance through rigorous application testing processes is the keystone that ensures software products meet user expectations, function flawlessly, and remain competitive in the market.

At LQA, we understand the paramount importance of software quality testing in delivering top-notch software products. Our testing services are designed to cater to diverse testing needs, including functional testing, performance testing, usability testing, and more. By leveraging our expertise and cutting-edge testing methodologies, businesses can achieve robust, reliable, and high-performing software applications.

Investing in thorough application testing is not just a best practice; it’s a strategic imperative. If you are looking for application testing experts to optimize your testing processes and ensure top-notch software quality, do not hesitate to contact our experts at LQA. Let us partner with you on your journey to delivering exceptional software solutions that exceed expectations.

 

 

 

Manual Testing

Security Testing And What You Might Not Know

Pretend that you wake up and find out your bank account emptied, your social media accounts compromised, and your personal information exposed on the dark web.

Sadly, this nightmare unfolds for countless persons each year due to cyberattacks.

But what if there was a way to thwart these attacks before they even occur? That’s when security testing comes to life.

In this article, let’s discover what is security testing, its types, its fundamental principles, and invaluable best practices. Brace yourself for an immersive journey into the world of safeguarding digital landscapes.

What Is Security Testing?

This is security testing definition: Security testing assesses software vulnerabilities and gauges the impact of malevolent or unforeseen inputs on its functionality.

By subjecting systems to rigorous security testing, organizations obtain crucial evidence regarding the safety, reliability, and resilience of their software, ensuring that unauthorized inputs are not accepted.

Software security testing falls under the umbrella of non-functional testing, it’s different from the functional testing that evaluates the proper functioning of software features (“what” the software does).

In contrast, non-functional testing concentrates on verifying whether the application’s design and configuration are effective and secure.

Benefits Of Security Testing

Some benefits of security testing – an aspect of software testing include:

Security Testing And What You Might Not Know

  • Safeguarding sensitive data: Through meticulous evaluation, security testing shields confidential and sensitive information from unauthorized access, disclosure, or theft, providing a robust defense against potential breaches.
  • Preventing security breaches: By unearthing vulnerabilities and weaknesses in the system, security testing acts as a proactive measure, thwarting security breaches and unauthorized intrusions that could compromise sensitive data’s sanctity.
  • Upholding trust: Security testing plays a pivotal role in cultivating and preserving the trust of customers, clients, and users. By affirming the system’s security and safeguarding its information, it establishes a solid foundation of trustworthiness.
  • Ensuring compliance: Various industries and organizations operate under stringent regulatory frameworks that mandate specific security measures. Security testing ensures adherence to these regulations, demonstrating compliance and mitigating potential risks and penalties.
  • Enhancing system reliability: Security testing identifies and rectifies security weaknesses that may trigger system failures or crashes. By bolstering system resilience, it enhances overall reliability and minimizes disruptions.

In general, security testing assumes a crucial role in protecting sensitive data, upholding trust, meeting compliance requirements, and elevating system reliability.

Main Types Of Security Testing

Now, let’s embark on some security testing types in the realm of software testing. By skillfully combining these security testing methodologies, you can fortify your software, safeguarding it against potential cyber-attacks and ensuring a robust security posture.

Security Testing And What You Might Not Know

  • Vulnerability scanning

One of the prominent security testing types is vulnerability scanning. It entails scrutinizing your software for known vulnerabilities or weaknesses. This method employs automated security testing tools to uncover potential security flaws, such as outdated software components, weak passwords, or insecure network configurations. By identifying these weaknesses in advance, vulnerability scanning helps preemptively address security gaps before malicious actors can exploit them.

  • Penetration testing

Or “pen testing,” penetration testing simulates real-world attacks on your software to uncover vulnerabilities and weaknesses. Ethical hackers or security professionals replicate the tactics employed by potential attackers, aiming to exploit security loopholes.

This security testing type focuses on scrutinizing authentication and authorization flaws, network configuration vulnerabilities (e.g., open ports, unencrypted traffic), and application logic flaws that arise from how your software handles user inputs or executes specific actions.

  • Risk assessment

Risk assessment involves a meticulous examination of potential threats to your software, evaluating both their likelihood and potential negative impacts. This security testing approach encompasses analyzing the software’s architecture, design, and implementation to identify security risks, such as data breaches, denial-of-service (DoS) attacks, or malware and viruses.

Through risk assessment, you can better understand the vulnerabilities and receive recommendations to enhance your software’s security, empowering you to proactively tackle potential issues.

  • Ethical hacking

Ethical hacking is similar to penetration testing as it involves emulating real-world attacks on your software. However, ethical hacking offers a distinct advantage by uncovering vulnerabilities that may elude other security testing approaches.

This security testing type includes assessing risks associated with phishing attacks, social engineering exploits, and physical security breaches. By engaging in ethical hacking, you can obtain a more comprehensive evaluation of your software’s security, including a broader spectrum of attack scenarios.

  • Security scanning

Security scanning leverages automated tools to scrutinize software for potential security vulnerabilities. These tools for security testing can range from software-based to hardware-based scanners, proficient in detecting an extensive array of security issues.

Examples of such vulnerabilities include SQL injection, cross-site scripting (XSS), and buffer overflow attacks. Moreover, security scanning aids in adhering to industry standards and regulations governing software security.

While security scanning serves as a valuable tool for identifying potential security weaknesses, it should not be solely relied upon. This is because security scanning tools may not capture all software vulnerabilities and can produce false positives or negatives.

Therefore, you should complement security scanning with other impactful security testing methodology, such as penetration testing and risk assessment. By amalgamating these approaches, you can attain a holistic and comprehensive evaluation of your software’s security posture.

  • Posture assessment

A meticulous evaluation of your software’s overall security posture is conducted through posture assessment. This form of security testing entails a thorough review of your software’s security policies and procedures, intending to identify any vulnerabilities or loopholes.

During the posture assessment, experienced security experts examine your access controls and software endpoints, providing valuable insights to help prevent targeted malicious attacks on your software.

The assessment catalyzes invaluable best practices in both operational and tactical aspects, ensuring that your organization’s security posture remains resilient and impervious to potential weaknesses, whether originating from IT service providers or third parties.

Security Testing And What You Might Not Know

Moreover, posture assessment carries a review of your software’s incident response plan. This ensures the presence of appropriate procedures to effectively respond to security incidents.

Testing your ability to detect and respond to security breaches, and evaluating your capacity to recover from a security breach, are integral components of this assessment.

By conducting a comprehensive security posture assessment, you can proactively identify areas for improvement, fortify your defenses, and establish robust incident response mechanisms, thus safeguarding your software and mitigating potential security risks.

  • Security auditing

Security auditing entails a comprehensive assessment of the design, implementation, and operational processes of your software to identify any gaps in your security controls.

When conducting security audits, you should initiate the process by clearly defining the scope, objective, and outlining the purpose, goals, and anticipated audit outcomes.

The next step involves collecting pertinent information about the software’s architecture, design, and implementation to pinpoint potential areas of weakness.

This can be achieved through a meticulous review of the software’s documentation, engaging in interviews with key stakeholders, and complementing the process with vulnerability scans and penetration testing.

Throughout the auditing process, identify and prioritize potential security weaknesses, vulnerabilities, and gaps in security controls. Based on the audit results, there will be some comprehensive recommendations to address the identified threats and enhance your security controls.

Security Testing Tools

Below are some software security testing tools

Static application security testing (SAST)

SAST tools perform an analysis of the source code in its static state. The primary objective of SAST is to detect potential vulnerabilities that can be exploited, offering a comprehensive report comprising detailed findings and corresponding recommendations.

By utilizing SAST, you can proactively identify and address various issues within the source code. These issues may include inadequate input validation, numerical errors, path traversals, and race conditions.

While SAST primarily focuses on source code analysis, you can apply it to compiled code, albeit with the use of binary analyzers.

Dynamic application security testing (DAST)

DAST tools specialize in scrutinizing applications while they are actively running. Their main objective is to identify potential vulnerabilities that can be exploited, employing a diverse array of attacks.

DAST tools frequently utilize fuzzing techniques, bombarding the application with numerous known invalid errors and unexpected test cases. This intensive approach means uncovering specific conditions in which the application may be susceptible to exploitation.

DAST checks cover a broad spectrum of components, including scripting, sessions, data injection, authentication, interfaces, responses, and requests. By running DAST assessments, you can gain insights into the security posture of these critical aspects, ensuring the robustness and resilience of your application.

Interactive application security testing (IAST)

IAST tools leverage a synergistic blend of static and dynamic testing methodologies, forming a powerful hybrid testing process. The primary objective is to determine whether known vulnerabilities present in the source code can be exploited during runtime.

By incorporating both static and dynamic analysis, IAST tools can minimize false positives, enhancing the accuracy of vulnerability detection.

IAST tools employ a combination of advanced attack scenarios, using pre-collected information about the data flow and application flow. Through iterative cycles of dynamic analysis, these tools continuously gather insights about the application’s behavior and response to various test cases.

This dynamic learning process enables the IAST tool to refine its understanding of the application’s vulnerabilities and may even generate new test cases to gain further insights.

By harnessing the capabilities of IAST tools, organizations can conduct comprehensive and intelligent testing, ensuring a more precise assessment of their application’s security posture during runtime.

Software composition analysis (SCA)

Software Component Analysis (SCA) is a cutting-edge technology designed to oversee and fortify open-source components in software systems. It empowers development teams to efficiently monitor and evaluate the utilization of open-source components in their projects.

SCA tools possess the capability to identify all pertinent components, including their supporting libraries, direct and indirect dependencies. Within each component, these tools can pinpoint vulnerabilities and recommend appropriate remediation measures.

By conducting thorough scanning, SCA generates a comprehensive Bill of Materials (BOM), presenting a detailed inventory of the software assets employed in the project.

Security Testing’s Key Principles

When engaging in any form of IT sec testing, whether it is web security testing, application security testing, data security testing, or others, you must adhere to the following fundamental principles.

  • Confidentiality

Access control covers a set of regulations designed to ensure that information is accessible and handled solely by authorized entities. By implementing robust security measures, organizations can safeguard private and confidential information, preventing unauthorized access or exposure to inappropriate parties.

Essentially, access is restricted to authorized personnel, ensuring the confidentiality and integrity of sensitive data.

  • Integrity

Data integrity revolves around upholding trust, consistency, and accuracy of information. Its primary objective is to facilitate the secure and accurate transfer of data from the sender to the intended receiver.

By implementing data integrity measures, organizations ensure that data remains unaltered by unauthorized entities, preserving its integrity throughout its lifecycle.

Security Testing And What You Might Not Know

  • Authentication

User authentication is a vital process that verifies individuals’ identity, establishing confidence in their access to systems or information. It ensures that users can trust the authenticity and reliability of information received from a recognized and trusted source.

  • Authorization

Role-based authorization is a system where a user is granted specific access rights based on their designated role. This security testing principal ensures that users are authorized to perform tasks and access resources that align with their assigned roles and responsibilities.

  • Availability

Information availability involves ensuring that data is readily accessible when needed by authorized individuals. This entails maintaining hardware infrastructure, promptly addressing hardware repairs, ensuring the smooth functioning of operating software, and safeguarding all data to prevent any disruptions in availability.

  • Non – Repudiation

“Repudiation” means rejecting or denying something. Non-repudiation ensures that the creator or sender of a message or document cannot later deny its originality or authenticity, guaranteeing its undeniable origin and validity.

  • CIA or AIC 

Confidentiality, integrity, and availability (CIA) form the cornerstone of an information security model used to establish robust policies in organizations.

Test Scenarios for Security Testing

Here are a few illustrative software security test scenarios to provide you with a glimpse of potential test cases:

  • Validate password encryption to ensure secure storage.
  • Verify the system’s ability to block unauthorized users from accessing the application or system.
  • Assess the handling of cookies and session timeouts in the application.
  • Evaluate the prevention of browser back button functionality on financial websites.

Note that these are merely sample scenarios, and a comprehensive security testing strategy would have a broader range of test cases tailored to your specific requirements.

Approaches To Follow While Doing Security Testing

Security testing holds various methodologies, which are as follows:

Black Box Testing

Black box testing involves evaluating the security of a system from an external perspective, without knowledge of its internal workings or response generation processes.

The system is treated as an opaque entity, with only inputs and outputs observable. In certain cases, the tester intentionally disregards the internal structure, even if it’s understandable.

Black box testing ensures a clear separation between the tester and the code creator. It compels the tester to approach the software from an outsider’s standpoint, simulating how an attacker might perceive and exploit it.

The social and technical detachment between testing and software development empowers the tester to challenge the creator by manipulating the application in ways the developer may not have anticipated.

White Box Testing

White box testing involves the creation of test cases and conducting tests based on the software’s source code. Unlike black box or gray box testing (where the tester possesses limited knowledge about the code structure), in white box testing, the tester has a thorough understanding of the code’s structure.

This technique also means clear, transparent, or glass box testing due to its emphasis on code observability.

White box testing primarily focuses on examining the internal workings and software components of an application to assess its design and structure from within. Testing teams can employ this technique for conducting system, integration, and unit tests.

Gray Box Testing

Gray box testing performs a fusion of white box and black box testing methodologies.

While black box testing entails working with a test object of unknown internal structure and white box testing requires full knowledge of the application’s internal workings, gray box testing involves the tester having a partial understanding of the system’s internal structure.

Testers in gray box testing rely on a limited comprehension of the underlying architecture and code to design their tests. The test object is thus considered semi-transparent or “gray.”

This approach combines the targeted code examination of white box testing with the innovative and diverse approaches of black box testing, such as functional and regression testing. Gray box testers can simultaneously evaluate both the software’s user interface and internal mechanisms.

How To Perform Security Testing Successfully?

Implementing effective computer security testing is essential for early detection and mitigation of vulnerabilities in your software development lifecycle. To ensure precise and accurate security testing in software testing, you should follow the best practices that guarantee a comprehensive, efficient, and effective process.

The following key practices can assist you in achieving these objectives:

Be proactive, not reactive

Take a proactive approach to security testing and avoid waiting until an attack occur. Regularly conduct comprehensive testing of your systems to quickly identify and resolve vulnerabilities before they can be exploited by attackers.

Use a range of automated security testing tools to scan your systems periodically, ensuring thorough vulnerability assessments. If needed, don’t hesitate to seek assistance from specialized vendors that can conduct penetration tests on your systems.

Adopt an attacker’s mindset and consider the most probable methods through which your systems could be breached. By understanding these potential vulnerabilities, you can concentrate your efforts on fortifying those specific areas.

Identify the security requirements

Before initiating security testing, establish the security requirements specific to your software. This ensures that the testing process focuses on the most critical security concerns.

To identify these requirements, begin by reviewing pertinent security policies and regulatory standards applicable to your software. These may include industry-specific regulations like HIPAA or PCI DSS, as well as broader security standards such as ISO 27001 or NIST SP 800-53.

By adhering to these guidelines, you can effectively align your security testing with the relevant industry and regulatory frameworks.

Proceed by evaluating the software’s risk profile to ascertain the potential consequences and likelihood of various security threats and attacks. This evaluation may involve undertaking a threat modeling exercise or a comprehensive risk assessment to identify and prioritize security risks effectively.

Subsequently, define precise security requirements that align with the identified risks and relevant regulations and standards. These requirements should possess clarity, measurability, and testability.

They should comprehensively address different dimensions of security, including confidentiality, integrity, availability, and non-repudiation. By establishing such requirements, you can ensure a robust and focused approach to safeguarding your software.

Use a variety of tools and techniques

To obtain a comprehensive understanding of your system’s security posture, you should employ a diverse range of testing methods. Relying on a single approach is insufficient to capture all vulnerabilities.

To identify security weaknesses in your application, you can use a combination of SAST (Static Application Security Testing), DAST (Dynamic Application Security Testing), and penetration testing.

SAST tools scrutinize source code for vulnerabilities, while DAST tools scan running applications to uncover potential weaknesses. Additionally, penetration testers simulate attacks on your application, helping to find and address security vulnerabilities through a proactive approach.

By leveraging these varied testing methods, you can enhance your systems’ overall security.

Security Testing And What You Might Not Know

Design security tests

Aligning with the established security requirements, formulate security tests focus on uncovering previously unidentified vulnerabilities and weaknesses. To create these tests, identify the specific types of security tests pertinent to your software, as previously discussed. Subsequently, determine the scope and objectives for each test.

Construct test cases and scenarios that replicate real-world attacks. Consider the potential consequences and likelihood of each vulnerability, and prioritize testing endeavors accordingly based on risk assessment.

Conclude by documenting the test plan and sharing it with stakeholders for feedback and approval. Incorporate revisions to the plan based on received feedback, ensuring its readiness for execution.

Execute security tests

During the execution of security tests, don’t forget to meticulously adhere to the devised plan to ensure precise and thorough testing. Take diligent note of any encountered issues throughout the testing phase, and document them for subsequent analysis.

Employ a systematic approach to guarantee all tests completion, leaving no vulnerabilities overlooked.

To streamline the workflow during security testing, contemplate the utilization of automated security testing tools. These tools facilitate the testing process and generate comprehensive reports on identified vulnerabilities and weaknesses. By leveraging such tools, you can save time and maintain consistency in test execution.

Furthermore, involve your development teams and security experts in the testing process to ensure comprehensive coverage of potential issues. Their expertise and collaboration will contribute to addressing any identified concerns effectively.

Analyze the results

A thorough analysis of security test results is a vital aspect of the software security testing process. This entails carefully checking the collected testing data to find out any potential security concerns that require attention.

To carry out an effective analysis of security test results, you should document the testing outcomes with precision and comprehensiveness. This documentation serves as a foundation for in-depth examination and evaluation of the identified security issues.

Comprehensive documentation should encompass extensive information regarding the conducted tests, obtained results, and any discovered issues or vulnerabilities throughout the testing phase.

This documentation plays a vital role in assessing the severity and prioritization of each identified concern, as well as devising a robust plan for their resolution.

In addition, actively seek feedback from industry professionals, as their expertise and insights can contribute to the development of effective strategies for addressing the identified vulnerabilities. Collaborating with these experts ensures a well-informed and strategic approach to resolving the security issues at hand.

Security Testing And What You Might Not Know

Address and fix the vulnerabilities

Upon identification of potential vulnerabilities, you should promptly address them to establish robust software security. When addressing these vulnerabilities, you should determine prioritization by their severity and potential impact on the software’s security.

Critical vulnerabilities demand immediate attention, followed by those of medium and low severity. Developing a comprehensive remediation plan that have all identified vulnerabilities and includes a timeline for completion is quite important.

Furthermore, ensure the use of secure coding practices while resolving vulnerabilities. Implement measures like input validation and output sanitization to prevent similar vulnerabilities in the future.

By adopting these practices, you protect the software’s resilience against potential security risks.

Focus on the high-risk areas

Vulnerabilities are various, with certain ones posing greater risks to your systems. Hence, you should concentrate your testing endeavors on higher risk level areas.

Using a risk assessment tool can address these high-risk areas within your systems. Armed with this knowledge, you can allocate your efforts accordingly and prioritize testing in those specific areas.

However, remember to not overlook the low-risk areas. Attackers can exploit even vulnerabilities with lower risk levels if they are skillfully combined. Therefore, comprehensive testing should include all areas, ensuring a thorough evaluation of potential vulnerabilities.

Security Testing And What You Might Not Know

Automate the process

Efficiently automating security testing is vital, considering the time and cost implications associated with manual security testing.

One effective approach is to leverage CI/CD pipelines, which automate the entire testing process. These pipelines facilitate the seamless building, testing, and deployment of software applications.

By integrating security testing tools into your CI/CD pipeline, you can automatically scan both your code and running applications for potential vulnerabilities. This automation significantly streamlines the testing process, enhancing efficiency and effectiveness.

Retest

After addressing the vulnerabilities, you should conduct retesting the software to verify the effectiveness of the fixes. This step will prevent the inadvertent creation of new vulnerabilities during the remediation process.

During the retesting phase, adhere to the established testing plan and procedures from the previous testing phase. Whenever possible, maintain consistency by employing the same testing tool.

It is worth noting that retesting should not be limited to software fixes alone; perform it after any modifications or updates to the software. By conducting thorough retesting, you ensure the continued security and stability of the software after changes or improvements.

Report

Communicate the results of security testing to stakeholders, ensuring their awareness of any potential security concerns, and the corresponding measures taken to mitigate them.

To create impactful security testing reports, employ clear and concise language that avoids excessive technical jargon.

In addition, you should also add a comprehensive summary of findings in the report. This summary provides an overview of the testing process, highlights key findings, and offers recommendations for remediation.

This summary serves as a valuable starting point for further discussions and decision-making among stakeholders.

Incorporating supporting evidence such as screenshots, log files, and vulnerability reports enhances the credibility of the report and enables stakeholders to grasp the severity of vulnerabilities.

These tangible pieces of evidence bolster the report’s credibility and aid stakeholders in comprehending the significance of identified vulnerabilities.

Lastly, ensure the inclusion of actionable recommendations that stakeholders can implement as part of their security measures. These practical suggestions empower stakeholders to take concrete steps in detecting the highlighted security concerns.

FAQ

What is security testing?

Security testing involves the meticulous identification and elimination of software weaknesses that could potentially ruin a company’s infrastructure system. By proactively addressing these vulnerabilities, we can brace the software’s resilience against attacks.

How is security testing different from software testing?

Distinguishing itself from other software testing practices, security testing focuses on uncovering vulnerabilities that hackers can exploit to infiltrate systems. Unlike other testing methodologies that primarily target functional deficiencies, security testing specifically aims to safeguard against unauthorized access and potential breaches.

Can security testing be automated?

Absolutely, automation is indeed possible. A diverse range of tools exists specifically designed to scan and detect vulnerabilities in code, web applications, and networks.

These tools play a significant role in enhancing system and application security by swiftly identifying and resolving vulnerabilities, thereby thwarting potential exploitation by attackers.

Nevertheless, you should acknowledge that automated tests cannot entirely replace manual testing. Manual testing identifies and addresses vulnerabilities that automated tools may overlook.

The combination of both automated and manual testing ensures an extensive approach to security testing, minimizing the risk of undetected vulnerabilities.

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Difference between QA and security testing

QA testing primarily focuses on verifying that software adheres to its functional requirements and performs as intended. QA testers approach software testing from the perspective of an average user, ensuring its usability and meeting user expectations.

On the other hand, security testing focuses on proactively identifying and resolving vulnerabilities in software that could be exploited by malicious attackers. Security testers adopt the mindset of a potential adversary, simulating attack scenarios to uncover weaknesses and fortify the software’s security.

QA testing cannot substitute for security testing. Even if software successfully passes all QA tests, it may still harbor undetected security vulnerabilities.

Therefore, conducting thorough security testing is essential to identify and rectify these vulnerabilities before the software is released to the public, ensuring a robust and secure product.

Conclusion

In the realm of software engineering, safeguarding data is important, making system security testing indispensable. Among the various testing practices, security testing takes precedence as it guarantees the confidentiality of personal information.

In this testing approach, one assumes the role of an attacker, meticulously examining the system to unveil any security vulnerabilities.

However, conducting such tests manually consumes substantial resources in terms of time, finances, and personnel. Therefore, transitioning to automated testing is a prudent way forward.

In case you want to find an efficient software testing service provider, don’t hesitate to contact us: