LTS QA

Native apps are known for their high performance, seamless integration with device features, and superior user experience compared to hybrid or web apps. But even the most well-designed native app can fail if it isn’t thoroughly tested. Bugs, compatibility issues, or performance lags can lead to poor reviews and user drop-off.

In this article, we’ll walk businesses through the purpose and methodologies of native app testing, explore different types of tests, and outline the key criteria to look for in a trusted native app testing partner.

By the end, companies will gain the insights needed to manage external testing teams with confidence and drive better app outcomes.

Now, let’s start!

What Is Native App Testing?

Native app testing is the process of evaluating the functionality, performance, and user experience of an app that is specifically developed for a particular operating system, such as iOS or Android, to make sure it functions correctly and delivers a high-quality user experience on its intended platforms. These apps are referred to as “native” because they are designed to take full advantage of the features and capabilities of a specific OS.

The purpose of native app testing is to determine whether native applications work correctly on the platform for which they are intended, evaluating their functionality, performance, usability, and security.

Through robust testing, this minimizes the risk of critical issues and enhances the app’s success in a competitive app market.

Key Types of Native App Testing

Unit testing

• Purpose: Verifies that individual functions or components of the application work correctly in isolation.
• Why it matters: Detecting and fixing issues at the unit level helps reduce downstream bugs and improves code stability early in the development cycle.

Integration testing

• Purpose: Checks how different modules of the app work together – like APIs, databases, and front-end components.
•  Why it matters: It helps identify communication issues between components, preventing system failures that can disrupt core user flows.

UI/UX testing

• Purpose: Evaluates how the app looks and feels to users – layouts, buttons, animations, and screen responsiveness.
• Why it matters: A consistent and intuitive interface enhances user satisfaction and directly impacts adoption and retention rates.

Performance testing

• Purpose: Tests speed, responsiveness, and stability under different network conditions and device loads.
• Why it matters: Ensuring smooth performance minimizes app crashes and load delays, both of which are key factors in maintaining user engagement.

Security testing

• Purpose: Assesses how well the app protects sensitive data and resists unauthorized access or breaches.
• Why it matters: Addressing security gaps is essential to protect sensitive information, meet compliance requirements, and maintain user trust.

Usability testing

• Purpose: Gathers real feedback from users to identify friction points, confusing flows, or overlooked design flaws.
• Why it matters: Feedback from usability testing guides design improvements and ensures that the app aligns with user expectations and behaviors.

Learn more: Software application testing: Different types & how to do?

Choosing the Right Approach to Native App Testing: In-House, Outsourced, or Hybrid?

One of the most strategic decisions in native app development is determining how testing will be handled. The approach taken can significantly affect not only time-to-market but also product quality, development efficiency, and long-term scalability.

In-house testing

In-house testing involves building a dedicated QA team within the organization. This approach offers deep integration between testers and developers, fostering immediate feedback loops and domain knowledge retention.

Maintaining in-house teams makes sense for enterprises or tech-first startups planning frequent updates and long-term support.

Best fit for:

• Companies developing complex or security-sensitive apps (e.g., fintech, healthcare) require strict control over IP and data.
• Organizations with established development and QA teams capable of building and maintaining internal infrastructure.
• Long-term products with frequent feature updates and the need for cross-functional collaboration between teams.

Challenges:

• High cost of QA talent acquisition and retention, particularly for senior test engineers with mobile expertise.
• Requires significant upfront investment in devices, testing labs, and automation tools.
• May face resource bottlenecks during high-demand development cycles unless teams are over-provisioned.

Outsourced testing

With outsourced testing, businesses partner with QA vendors to handle testing either partially or entirely.

This model not only reduces operational burden but also gives businesses quick access to experienced testers, broad device coverage, and advanced tools. In fact, 57% of executives cite cost reduction as the primary reason for outsourcing, particularly through staff augmentation for routine IT tasks.

Best fit for:

• Startups or SMEs lacking internal QA resources are seeking cost-effective access to mobile testing expertise.
• Projects that require short-term testing capacity or access to specialized skills like performance testing, accessibility, or localization.
• Businesses looking to accelerate time-to-market without sacrificing testing depth.

Challenges:

• Reduced visibility and control over daily test execution and issue resolution timelines.
• Coordination challenges due to time zone or cultural differences (especially in offshore models).
• Requires due diligence to ensure vendor quality, security compliance, and confidentiality (e.g., NDAs, secure environments).

Hybrid model

The hybrid approach for testing allows companies to retain strategic oversight while extending QA capabilities through external partners. In this setup, internal QA handles core feature testing and critical flows, while external teams take care of regression, performance, or multi-device testing.

Best fit for:

• Organizations that want to retain strategic control over core testing (e.g., test design, critical modules) while outsourcing repetitive or specialized tasks.
• Apps with variable testing workloads, such as cyclical releases or seasonal feature spikes.
• Companies scaling up who need to balance cost and flexibility without compromising on quality.

Challenges:

• Needs strong project management and alignment mechanisms to coordinate internal and external teams.
• Risk of inconsistent quality standards unless test plans, tools, and reporting are well integrated.
• May involve longer onboarding to align both sides on tools, workflows, and business logic.

5 Must-Have Criteria for a Trusted Native App Testing Partner

While every business has its own unique needs, there are key qualities that any reliable native app testing partner should consistently deliver. Below, we break down the 5 essential criteria that an effective software testing partner must meet and explain why they matter.

Proven experience in native app testing

A testing partner’s experience should extend beyond general QA into deep, hands-on expertise in native mobile environments. Native app testing demands unique familiarity with OS-level APIs, device hardware integration, and platform-specific performance constraints, whether it’s iOS/Android for mobile or Windows/macOS for desktop.

• For mobile, this means understanding how apps behave under different OS versions, permission models, battery usage constraints, and device-specific behaviors (e.g., Samsung vs. Pixel).
• For desktop, experience with native frameworks like Win32, Cocoa, or Swift is critical, especially for apps relying on GPU usage, file system access, or local caching.

Businesses should see case studies or proof points in your industry or use case, such as finance, healthcare, or e-commerce, where reliability, compliance, or UX is critical.

Certifications like ISTQB, ASTQB-Mobile, or Google Developer Certifications reinforce credibility, especially when combined with real-world results .

Robust infrastructure and real device access

A trusted testing partner must offer access to a wide range of real devices and system environments that reflect the business’s actual user base across both mobile and desktop platforms. This includes varying operating systems, screen sizes, hardware specs, and network conditions. Unlike limited simulations, testing on real devices ensures accurate performance insights and reduces post-launch issues.

Security, compliance, and confidentiality

Given the sensitive nature of app data, the native app testing partner must adhere to strict security standards and compliance frameworks (e.g., ISO 27001, SOC 2, GDPR).

More than just certification, this means implementing security-conscious testing environments that prevent data leaks, applying techniques like data masking or anonymization during production-like tests, and enforcing strict protocols such as signed NDAs, role-based access, and secure handling of test assets and code.

It’s also important to note that native desktop apps often interact more deeply with a system’s file structure or network stack than mobile apps do, which increases the surface area for security vulnerabilities.

Communication and collaboration practices

Clear, consistent communication is essential when working with an external testing partner. Businesses should expect regular updates on progress, test results, and issues so they can stay informed and make timely decisions. The partner should follow a structured process for planning, executing, and retesting and be responsive when priorities shift.

They also need to work smoothly within companies’ existing tools and workflows, whether that’s Jira for tracking or Slack for quick updates. Good collaboration helps avoid delays, improves visibility, and keeps your product moving forward efficiently.

Scalability and business alignment

An effective testing partner must offer the ability to scale resources in line with evolving product demands, whether ramping up for major releases or optimizing during low-activity phases. Flexible scaling guarantees efficient use of time and budget without compromising test coverage.

Equally important is the partner’s alignment with broader business objectives. Testing processes should reflect the development pace, release cadence, and quality benchmarks of the product. A well-aligned partner contributes not only to immediate project goals but also to long-term product success and market readiness.

Best Practices for Managing An External Native App Testing Team

For businesses exploring outsourced native app testing, effective team management is key to turning that investment into measurable outcomes. The 5 practices below help establish alignment, reduce friction, and unlock real value from the partnership.

Define clear expectations from the start

A productive partnership begins with a clearly defined scope of work. Outline key performance indicators (KPIs), testing coverage objectives, timelines, and preferred communication channels from the outset.

Make sure the external testing team understands the product’s business goals, user profiles, and high-risk areas, whether it’s data sensitivity, user load, or platform-specific edge cases. Early alignment helps eliminate confusion, reduces the risk of missed expectations, and makes it easier to track progress against measurable outcomes.

Assign a dedicated point of contact

Appointing a liaison on both sides helps reduce miscommunication and speeds up decision-making. This role is responsible for managing test feedback loops, flagging blockers, and facilitating coordination across internal and external teams.

Integrate with development workflows

Embedding QA professionals within Agile teams enhances collaboration and accelerates issue resolution. When testers are involved from the outset, they can identify defects earlier, reducing costly rework and ensuring development stays on track.

In today’s multi-platform environment, where apps must perform reliably across operating systems, devices, and browsers, integrating QA into Agile sprints transforms compatibility testing into a continuous effort. Rather than treating it as a final-stage checklist, teams can proactively detect and resolve issues such as layout breaks on specific devices or OS-related performance lags.

Maintain consistent communication and reporting

Regular updates between the internal team and the external testing partner help avoid misunderstandings and keep projects on track. Weekly syncs or sprint reviews ensure that testing progress, bug status, and priorities are clearly understood.

Use structured reports and dashboards to show key metrics like test coverage, defect severity, and retesting status. As a result, businesses get to assess product quality quickly without wading through technical detail.

Connecting the external team to tools already in use, such as Jira, Slack, or Microsoft Teams, helps keep communication smooth. Such integration improves collaboration and speeds up release cycles.

Foster a long-term partnership mindset

Onboard the external testing team with the same thoroughness as internal teams. Provide access to product documentation, user personas, and business goals. When testers understand the broader context, they can identify issues that impact user experience and business outcomes more effectively. This strategic partnership fosters a proactive approach to quality, leading to more robust and user-centric products.

Check out the comprehensive test plan template for the upcoming projects.

How Long Does It Take To Thoroughly Test A Native App?

Thoroughly testing a native mobile application is a multifaceted endeavor. Timelines vary significantly based on:

• App complexity (simple MVP vs. feature-rich platform)
• Platforms supported (iOS, Android, or both)
• Manual vs. automation mix
• Number of devices and testing cycles

For a basic native app, such as a content viewer or utility tool with limited interactivity, end-to-end testing might take between 1 and 2 weeks, focusing primarily on functionality, UI, and device compatibility.

However, most business-grade applications – those involving user authentication, server integration, data input/output, or performance-sensitive features – typically require from 3 to 6 weeks of testing effort.

For feature-rich or enterprise-level native apps, particularly those that involve real-time updates, background processes, or complex data transactions, testing can stretch from 6 to 10 weeks or more.

This is especially true when multi-platform coverage (iOS, Android, desktop) and a wide range of devices and OS versions are required. Native apps on mobile often need to account for fragmented hardware ecosystems, while native desktop apps may require deeper testing of system-level access, file handling, or offline modes.

Ultimately, the real question is not just “how long,” but how early and how strategically QA is integrated. Investing upfront in test strategy, automation, and risk-based prioritization often results in faster releases and lower post-launch costs, making the testing timeline not just a cost center but a business enabler.

FAQs About Native App Testing

1. What is native app testing, and how is it different from web or hybrid testing?

Native app testing focuses on apps built specifically for a platform (iOS, Android, Windows) using platform-native code. These apps interact more directly with device hardware and OS features, so testing must cover areas like performance, battery usage, offline behavior, and hardware integration. In contrast, web and hybrid apps run through browsers or webviews and don’t require the same depth of device-level testing.

2. How do I know if outsourcing native app testing is right for my business?

Outsourcing is a good choice when internal QA resources are limited or when there’s a need for broader device coverage, faster turnaround, or specialized skills like security or localization testing. It helps reduce time-to-market while controlling costs, especially during scaling or high-volume release cycles.

3. How much does it cost to outsource native app testing?

While specific figures for outsourcing native app testing are not universally standardized, industry insights suggest that software testing expenses typically account for 15% to 25% of the total project budget. For instance, if the total budget for developing a native app is estimated at $100,000, the testing phase could reasonably account for $15,000 to $25,000 of that budget. This range encompasses various testing activities, including functional, performance, security, and compatibility testing.

Final Thoughts on Native App Testing 

By understanding what native app testing entails, weighing the pros and cons of different approaches, and applying best practices when working with external testing teams, businesses can make smart decisions. More importantly, companies will be better equipped to decide if outsourcing is the right path and how to do it in a way that maximizes efficiency.

Ready to get started? 

LQA’s professionals are standing by to help make application testing a snap, with the know-how businesses can rely on to go from ideation to app store.

With a team of experts and proven software testing services, we help you accelerate delivery, ensure quality, and get more value from your testing efforts.

Contact us today to get the ball rolling!

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.

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:

• Mobile application testing tools: choosing the right solution
• Top 10 trusted automation testing tools for your business
• 5 simple steps to opt for best-fitted automation testing tool

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:

• 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!

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:

• Strategic guide to choosing the right software QA company
• Software QA outsourcing: Dos and don’ts

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.

4 Main Categories of Software Testing Costs

Software testing expenses generally fall into four primary categories:

• 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.

• Website: https://www.lotus-qa.com/
• Tel: (+84) 24-6660-7474
• Mail: [email protected]
• Fanpage: https://www.linkedin.com/company/lqa/

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.

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:

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.

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:

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:

• Top 8 benefits of test automation
• A comparison between manual testing and automation testing
• How to choose the right test automation framework?
• 10 leading automation testing companies worldwide

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.

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.

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 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:

• Functional tests
• Examples
• Story tests
• Prototypes
• Simulations

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 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 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.

Advantages of Agile Testing

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

• 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!

 

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.

 

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:

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:

• What is functional testing? Types and comprehensive guide
• What is non functional testing?

 

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.

 

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.

 

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.

 

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.

 

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.

 

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.

 

 

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.

 

Types of Software Application Testing

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.

 

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.

 

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 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.

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.

 

 

 

In today’s software development, quality assurance (QA) has solidified its position as an integral component to guarantee flawless software. The evolving landscape of websites and applications constantly necessitates more efficient QA measurements. This is where QA metrics come in to make QA processes more systematic and efficient!

In this article, we will delve into 12 absolute QA metrics and 7 derived QA metrics that will help you maximize the effectiveness of your test process and the productivity of the QA team.

QA Fundamentals: What is QA Testing

Quality Assurance (QA) in software development refers to the systematic process of ensuring that the final product meets specified requirements and standards. It involves comprehensive testing, identifying defects, and ensuring that the software functions smoothly before reaching the end users.

In the software development life cycle, QA plays a pivotal role. From the initial stages of requirement analysis to the final product launch, QA teams combine manual and automation testing methods to ensure the software aligns with the envisioned goals. They work closely with developers, detecting bugs and issues early, which minimizes costs and guarantees a higher-quality end product.

QA Metrics Fundamentals

What are QA metrics?

QA metrics are measurable standards used to measure and monitor the quality of the deliverables, processes, and outcomes.

For example, numbers of determined/passed/failed/blocked test cases.

QA metrics make QA processes more systematic and efficient. By quantifying key parameters such as test coverage, defect rates, productivity, and more, QA metrics aid in making informed decisions, mitigating risks, and continuously improving the software development process to align with QA goals and objectives. 

Types of QA metrics

There are two major categories of software QA metrics: quantitative metrics (absolute number) and qualitative metrics (derived metrics).

• Quantitative metrics: Quantitative metrics are absolute numerical values that measure specific aspects like the number of defects found, the number of test cases executed, or the percentage of code coverage.
• Qualitative metrics: Qualitative metrics are derived numbers that evaluate the effectiveness and quality of processes and products. They involve analyzing trends, patterns, and data relationships to draw meaningful insights.

At LQA, our testing team excels in both categories, leveraging quantitative metrics for precise measurements and qualitative metrics for deeper insights into the overall software quality and testing effectiveness.

Why Do QA Testing Metrics Matter?

Of course, a software quality assurance process can function without specific QA test metrics. Yet, the presence of precise QA metrics significantly elevates QA’s effectiveness and efficiency by providing measurable insights into the testing process and product quality.

QA metrics in agile empower project managers and decision-makers to

• allocate resources effectively,
• manage timelines,
• ensure a smoother development process.

These metrics enhance the software’s overall quality and streamline development workflows, leading to successful project outcomes.

Also read: Top countries for software quality assurance services

Types of Quantitative Metrics

Quantitative metrics, in particular, offer a clear and numerical insight into the various dimensions of the testing process, ranging from testing coverage to defect identification and overall efficiency.

Top-used quantitative QA metrics examples include:

• Total number of test cases
• Number of passed test cases
• Number of failed test cases
• Number of blocked test cases
• Number of identified bugs
• Number of accepted bugs
• Number of rejected bugs
• Number of deferred bugs
• Number of critical bugs
• Number of determined test hours
• Number of actual test hours
• Number of bugs detected after release

Gain a practical guide to test case design with examples with our blog: Test case design techniques. 

Types of Derived QA Metrics

Derived QA metrics, a step beyond quantitative metrics, are derived from various quantitative data points collected during the software testing process.

At LQA, besides absolute numbers, we often implement derivative QA metrics to help clients get a better grip on the effectiveness and thoroughness of testing efforts.

Test coverage

Test coverage measures how much of the software has been tested. It ensures that all critical parts of the software are verified.

Below are common test coverage metrics:

• Percentage of code coverage: The proportion of lines of code tested compared to the total lines of code, reflecting the thoroughness of testing.
• Percentage of requirements coverage: The percentage of requirements addressed by test cases, indicating requirement validation.
• Percentage of critical paths tested: The critical paths executed out of the total possible paths in the software, revealing critical path coverage.
• Percentage of high-risk modules covered: The high-risk modules tested compared to the total high-risk modules identified, indicating risk mitigation.
• Percentage of interfaces tested: The interfaces tested compared to the total interfaces in the software, ensuring proper integration testing.

Test effort

Test effort metrics evaluate the human and time resources invested in various testing activities, providing insights into the efficiency and resource allocation.

Typical metrics to measure test effort:

• Total person-hours spent on testing: The sum of hours each team member has spent on testing, reflecting the overall effort invested.
• Average time to design a test case: The total time spent on test case design divided by the number of test cases designed, indicating design efficiency.
• Average time to execute a test case: The total time spent on test case execution divided by the number of test cases executed, revealing execution efficiency.
• Time spent on defect management: The total time spent on defect handling divided by the number of defects found, showing defect resolution efficiency.
• Time spent on test environment setup: The total time spent on setting up the test environment divided by the number of test cycles, indicating environment setup efficiency.

Test execution

Test execution metrics provide an overview of completed tests and those awaiting execution. When recording test results, testers often classify them as passed, failed, or blocked.

Typical metrics for test execution:

• Number of test cases executed: The total count of test cases executed during a testing phase, reflecting the scope of testing.
• Execution time per test case: The total execution time divided by the number of test cases executed, indicating the efficiency of test case execution.
• Number of test cases automated: The count of test cases automated out of the total, revealing automation coverage.
• Number of passed/failed test cases: The count of test cases passed or failed, indicating test success.
• Number of test case iterations: The number of times a test case is repeated or iterated, revealing reusability and robustness of the test case.

Defect distribution

Defect distribution metrics provide insights into the distribution of defects across different mediums. Hence, aiding in identifying common sources for potential improvement.

Here are common defect distribution metrics:

• Number of defects per module/component: The count of defects identified in each module or component, aiding in defect prioritization and resource allocation.
• Defects categorized by severity: The count of defects categorized by severity levels such as critical, major, and minor, aiding in priority-based resolution.
• Defects categorized by functionality: The count of defects categorized by functionality like UI, database, and security, aiding in targeted testing.
• Number of defects by testing phase: The count of defects detected in different testing phases like unit testing and system testing, aiding in process evaluation.
• Defect distribution by cause: Defect distribution by cause involves categorizing defects based on their origin or cause, providing insights into areas for improvement.

Defect detection and recovery

Defect detection and recovery metrics measure the efficiency of defect detection and the speed of recovery processes, ensuring effective defect resolution.

Here are useful metrics for defect detection and recovery:

• Defects found per hour of testing: The count of defects identified per hour of testing, reflecting detection efficiency.
• Average time taken to detect a defect: For example, if it took 100 hours to detect 20 defects, the average time to detect a defect is 100/20= 5 hours. Moreover, for a quick and accurate average of the time use the average calculator by Allmath without using any formula.
• Time taken to recover from a defect: The time taken to recover or resolve a defect, reflecting defect resolution efficiency.
• Number of retests after defect fixes: The count of retests conducted after defect fixes, indicating the need for revalidation.
• Defect reoccurrence rate: The percentage of defects that reoccur after being marked as resolved, indicating the stability of defect resolution.

Test team metrics

Test team metrics assess the productivity, efficiency, and performance of the testing team, aiding in team management and resource allocation.

Here are popular QA metrics to evaluate a test team:

• Team productivity: The rate at which test cases or components are developed or executed by the team members, reflecting team efficiency.
• Number of defects logged by each team member: The count of defects logged by each team member, aiding in defect tracking and individual performance evaluation.
• Test case execution rate per team member: The rate at which test cases are executed by each team member, indicating execution efficiency.
• Number of test environments set up by each team member: The count of test environments set up by each team member, reflecting efficiency in environment management.
• Defects validated per team member: The count of defects validated or verified by each team member, indicating validation efficiency.

Test economy

Test economy provides insights into the cost-effectiveness and financial aspects of the testing process, aiding in budgeting and cost optimization.

Below are commonly used test economics metrics:

• Cost per test case: The cost incurred for testing each test case, aiding in cost allocation and optimization.
• Total cost of testing per module/component: The total cost incurred for testing each module or component, aiding in budgeting and resource allocation.
• Cost per defect found and fixed: The cost incurred for finding and fixing each defect, aiding in defect management efficiency.
• Return on investment (ROI) of testing efforts: The ratio of the benefits gained from testing efforts to the cost invested in testing, reflecting the effectiveness of testing.
• Cost of testing as a percentage of the total project cost: The percentage of the total project cost attributed to testing, aiding in project budgeting and financial planning.

These quantitative QA metrics provide measurable data corresponding to each derivative QA metric, allowing for a comprehensive assessment of the testing process.

Frequently Asked Questions for QA Metrics

1. What are quality standards for QA?

Quality standards for QA involve predefined criteria and benchmarks that a product or process must meet to ensure its quality.

These standards can encompass various aspects such as functionality, reliability, performance, usability, security, and compliance with industry regulations. They provide a clear framework for evaluating and assuring the quality of software throughout the development life cycle.

2. How do you measure quality in QA?

Measuring quality in QA involves a comprehensive evaluation of the software against predefined quality standards. This assessment is facilitated through a variety of quantitative and qualitative metrics in this blog.

Quantitative metrics include aspects like the number of defects, test coverage, and performance metrics. Qualitative metrics involve assessing user experience, feedback, and adherence to design guidelines.

A combination of these metrics offers a holistic view of the software’s quality.

3. How is QA productivity measured?

QA productivity is measured through various quantitative metrics that evaluate the efficiency and effectiveness of the QA process. These metrics include:

• the number of test cases executed
• defects detected
• test coverage achieved
• time taken for testing.
• person-hours spent on testing
• test case execution rates

Final Thoughts on QA Metrics

QA metrics help managers estimate the efficiency and effectiveness of test procedures. Embracing both quantitative and qualitative metrics yields a multitude of benefits. From cost-efficiency and resource optimization to product-market fit assurance, these metrics align development efforts with strategic goals.

Have an idea of outsourcing software testing in mind? Our insights will help:

• Top software testing companies in 2023
• Practical case studies for offshore software testing

In the field of software testing, there are many software Testing methods applied today. In this article, we will share three basic methods that are most commonly applied and its advantages and disadvantages. They are black box testing, white box testing. and gray box testing.

1. Black Box Testing Method

1.1. Black Box Testing Method – Definition

Black box testing is a method of software testing that examines the functionality of an application (eg: what the software does) without peering into its internal structures or workings

1.2. Black Box Testing Method – Advantages:

• Testers will not need to understand any code knowledge.
• Can find more bugs.
• Testing is done independently by developers, allowing objective views.

1.3. Black Box Testing Method – Disadvantages:

• Only a small number of inputs can be checked and many program paths or few sections will not be checked.
• The tests may be redundant if the software designer / developer has run the test.

2. White Box Testing Method

2.1. White Box Testing Method – Definition

White box testing (also known as clear box testing, glass box testing, transparent box testing or structural testing) is a method of testing software that tests internal structures or workings off an application, as opposed to black box testing.

While white box testing can be applied at the unit, integration and system levels of the software testing process, it is usually done at the unit level.

2.2. White Box Testing Method – Advantages:

• Automate easily
• Provide clear technical-based rules when stopping testing.
• Forcing testing experts to think carefully about error testing so the bug will be thorough.

2.3. White Box Testing Method – Disadvantages

• It takes time and effort.
• There will still be errors.
• Testing by this method requires extensive experience and expertise in testing.

3. Gray Box Testing Method

3.1. Gray Box Testing Method – Definition

Gray box testing is a combination of white box testing and black box testing. The aim of this testing is to search for the defects if any due to improper structure or improper usage of applications.

3.2. Gray Box Testing Method – Advantages:

• It is a combination of black and white box testing, so might be more optimal.

• Testing by gray box method can design complex test scenarios in a smarter way.

3.3. Gray Box Testing Method – Disadvantages:

• It is difficult to link errors when performing a gray box test for a distributed system application.

4. Comparison Between 3 Software Testing Methodologies

Black-Box Testing	Grey-Box Testing	White-Box Testing
The internal workings of an application is necessary	The tester has limited knowledge of the internal workings of the application.	Tester has full knowledge of the internal workings of the application.
Performed by end-users and also by testers and developers.	Performed by end-users and also by testers and developers.	Normally done by testers and developers.
Testing is based on external expectations – Internal behavior of the application is unknown.	Testing is done on the basis of high-level database diagrams and data flow diagrams.	Internal workings are fully known and the tester can design test data accordingly.
It is exhaustive and the least time-consuming.	Partly time-consuming and exhaustive.	The most exhaustive and time-consuming type of testing.
Not suited for algorithm testing.	Not suited for algorithm testing.	Suited for algorithm testing.

Above are the 3 most basic software testing methods that any programmer needs to know. Choosing which method depends on the ability as well as the project you carry out.

Final Thoughts on Software Testing Methods

The diverse landscape of software testing methods plays a pivotal role in ensuring the reliability, functionality, and user satisfaction of software products. 

By strategically incorporating Black Box, White Box and Gray Box testing approaches, development teams can uncover issues early, enhance overall software quality, and deliver products that meet both user expectations and industry standards. Embracing this trinity of testing methods empowers developers to navigate the complexities of modern software development with confidence and precision.

Should you have any questions related to methods of testing, contact us for further support.

Lotus Quality Assurance (LQA)

• Tel: (+84) 24-6660-7474
• Email: [email protected]
• Website: https://www.lotus-qa.com/

Frequently Asked Questions about Methods of Testing

 

 

You are here because “88% of your customers may abandon your app because of bugs”. That’s why you may need one of the award-winning mobile app testing companies to cater quality assurance process and make sure your app is flawless.  

You might be overwhelmed by thousands of testing company names floating out there, so in this article, we will be listing out the top 12 mobile app testing vendors from different countries, with diverse competencies to help you pick the most suitable partner.

Let’s dive in! 

Top 12 Mobile App Testing Companies in 2024 

Let’s take a quick look at the list before zooming into the top 12 trusted mobile app service providers in 2024.

Company	Presence	Founded	Hourly rate	Employee	Core Services
Lotus Quality Assurance	Vietnam, Japan, US	2016	<$25/hr	300	Functional testing; Non-functional testing; Cloud mobile testing; iOS app testing; Android testing; Automated mobile app testing; Overall quality assurance;
Global App Testing	UK, Romania, Poland	2013	Undisclosed	50 – 200	Localized testing; Exploratory testing; Test case execution; Functional testing;
QA Source	US, India, Mexico	2022	$25 – $49/hr	900	Mobile app testing; Automation testing; API testing; Security testing; Localization testing; Blockchain testing;
QA Mentor	US, France, Ukraine	2010	< $25/hr	350+	Mobile app testing; iOS app testing; Android testing; Manual testing; Test automation; Test design on-demand;
ScienceSoft	US, Finland, UAE, Latvia	1989	$50 – $99/hr	250 – 999	QA outsourcing; Security testing; Usability testing; Test automation; Regression testing; Functional testing; Performance testing;
iBeta	US	1999	$50 – $99/hr	50 – 249	Functional testing; Performance testing; Accessibility testing; Automated testing; Manual testing; Localization testing
QualityLogic	US	1986	$25 – $49/hr	230	Accessibility testing; Automated testing; Biometrics testing; Performance testing; Load testing; Overall quality assurance;
Testmatick	US, Ukraine, Germany, India	2009	$25 – $49/hr	125	Functional testing; Automated testing; Usability Testing; UI testing; Multi-platform testing; Load testing; Exploratory testing;
DeviQA	Poland, UK, Germany, Ukraine, Slovakia	2010	$25 – $49/hr	200	Test automation; Agile testing; API testing; Performance testing; Usability testing; Functional testing; Mobile automation testing; Mobile app testing strategy;
Testlio	US, Estonia	2012	Undisclosed	220	Android app testing; iOS app testing; Localization testing; Payments testing; Regression testing;
ThinkSys	US, India, Israel	2012	Undisclosed	400	Mobile test automation; Mobile accessibility testing; Mobile app cloud testing; Mobile performance testing; Mobile compatibility testing; Mobile usability testing; Mobile functional testing; Mobile security testing;
Testbytes	India	2011	< $25/hr	50 – 249	Functional Testing; Usability Testing; Compatibility Testing; Installation Testing; Localization Testing; Performance testing; Security testing;

Detailed Review of Top 12 Mobile App Testing Companies

1. Lotus Quality Assurance (LQA)

LQA is a pioneering independent software testing company in Vietnam. Whatever mobile app testing services you need, LQA checks all the boxes. 

LQA provides end-to-end testing solutions, covering test strategy, execution, analysis, and detailed recommendations to improve your products’ quality. The team offers various mobile app testing services, ranging from function to performance validating, and from automated to manual testing across various software types and operating systems. 

LQA stands out with its domain-specialized QA solutions across various sectors like Healthcare, Automotive, Education, BFSI, Ecommerce, etc., guaranteeing industry-specific compliance and improved user experiences.

LQA is super flexible for any company size as they customize pricing and contract types upon request. You can augment your in-house team with individual test experts, hire a dedicated test team, or delegate a fix-priced test project to LQA. 

Find out the difference between manual testing vs. automated testing.

Company info:

• Headquarters: Vietnam
• Global presence: Japan, US
• Founded year: 2016
• Employees: 300
• Hourly rate: Less than $25/hr
• Minimum project size: $5,000
• Certificates: ISO 27001:2013, PMP, PSM, ISTQB.

Core mobile testing services: 

• Functional testing
• Non-functional testing
• Cloud mobile testing
• iOS app testing
• Android testing
• Automated mobile app testing
• Overall quality assurance

Best for: End-to-end test solutions; Domain-specialized QA solutions; Offshore test center in Vietnam. 

Highlighted clients: Golden Gate, Bao Viet, Incubit, LG, Infiniq, SQC Inc. 

Thinking of outsourcing quality assurance to Vietnam? Check out our insightful ebook, Vietnam’s IT Services Industry: Landscape, Challenges, Opportunities.

 

2. Global App Testing

Global App Testing is a crowdsourced QA company headquartered in the UK. 

Global App Testing provides crowd-testing services for web and mobile applications. The company leverages a professional crowd of 50,000+ testers in various countries to offer a wide range of mobile app testing solutions, helping customers solve any mobile app QA challenges. Their core competencies lay in functional testing and localized testing. 

Company info:

• Headquarters: London, UK
• Global presence: Romania, Poland
• Founded year: 2013
• Employees: 50 – 200
• Hourly rate: Undisclosed
• Minimum project size: Undisclosed
• Certificates: ISO 27001

Core mobile testing services: 

• Localized testing
• Exploratory testing
• Test case execution
• Functional testing

Best for: Localization testing.

Highlighted clients: Facebook, Instagram, iHeartMedia, P&G.

3. QA Source

QA Source is among the top mobile app testing companies in the United States.

QA Source is a mobile testing service provider company that offers nearshore and offshore QA services. With a proven track record, they provide comprehensive testing solutions to enhance app performance, security, and user satisfaction, empowering businesses to release mobile apps with confidence and premier user experience.

Company info:

• Headquarters: California, US
• Global presence: India, Mexico
• Founded year: 2002
• Employees: 900
• Hourly rate: $25 – $49/hr
• Minimum project size: $25,000
• Certificates: ISO 9001:2008

Core mobile testing services:  

• Mobile app testing
• Automation testing
• API testing
• Security testing
• Localization testing
• Blockchain testing

Best for: Automated testing.

Highlighted clients: SkillRoad, Fun Mobility, Italio, Techsmith, Looksmart.

You might wonder: Pros and Cons of Software QA Outsourcing

4. QA Mentor

QA Mentor is another choice when it comes to mobile application testing companies based out of the US. 

With a pool of 350 certified software testers, QA Mentor provides high-quality application testing services to ensure your bug-free and efficient mobile apps. During its operation, the company has supported 476 clients from startups to Fortune 500 organizations from 12 different countries.

Company info:

• Headquarters: New York, US
• Global presence: France, Ukraine
• Founded year: 2010 
• Employees: 350+ 
• Hourly rate: < $25/hr
• Minimum project size: $5,000
• Certificates: CMMI Level 3, ISO 27001:2013, ISO 9001:2015

Core mobile testing services: 

• Mobile app testing
• iOS app testing
• Android testing
• Manual testing
• Test automation
• Test design on-demand

Best for: End-to-end mobile test solutions. 

Highlighted clients: Evolv AI, Experian, BOSCH, Aetna, Citi, HSBC, Experian. 

5. ScienceSoft

ScienceSoft is a US-based software consulting and development company that encompasses premier QA mobile app testing services.

ScienceSoft arms businesses with full-scope testing solutions for mobile testing, with a special focus on test automation, to ensure bug-free, reliable, and fast applications. The company offers professional test services to various industries such as healthcare, manufacturing, retail, wholesale, logistics, etc.

Company info:

• Headquarters: Texas, US
• Global presence: Finland, UAE, Latvia
• Founded year: 1989
• Employees: 250 – 999 
• Hourly rate: $50 – $99/hr
• Minimum project size: $5,000
• Certificates: ISO 9001, ISTQB

Core mobile testing services: 

• QA outsourcing
• Security testing
• Usability testing
• Test automation
• Regression testing
• Functional testing
• Performance testing

Best for: Test automation; Healthcare app testing.

Highlighted clients: Chiron Health, GuideVision, RBC Royal Bank, Walmart, Nestle, Baxter, PerkinElmer.

You might want to distinguish Mobile app testing from Web app testing

6. iBeta Quality Assurance

iBeta Quality Assurance (iBeta) is a trusted QA partner that has been providing software testing services for global brands since 1999. 

iBeta offers on-demand QA services, covering mobile testing, functionality testing, performance testing, compatibility testing, acceptance testing, and code reviews. They distinguish themselves through their cutting-edge software testing labs, which enable custom test systems, multi-environment testing, and effective communication among testers throughout projects.

Company info:

• Headquarters: Colorado, US
• Global presence: none
• Founded year: 1999
• Employees: 50 – 249 
• Hourly rate: $50 – $99/hr
• Minimum project size: $5,000
• Certificates: FIDO Alliance accredited biometric test lab; ISO 17025

Core mobile testing services: 

• Functional testing 
• Performance testing
• Accessibility testing
• Automated testing
• Manual testing 
• Localization testing

Best for: Businesses want a highly customized test approach.

Highlighted clients: Vimeo, Payeye, Sumsub, Quiznos, Pitney Bowes, Express.

Cooperating with an external team from mobile app testing companies can be daunting due to some obstacles related to effective communication. Discover ways to master virtual workplace to bolster team productivity. 

7. QualityLogic

QualityLogic is one of the leading testing-as-a-service companies dedicated to serving businesses in the US.

QualityLogic equips IT businesses with a broad services range, encompassing software testing, digital accessibility, and smart energy testing services. The company brings flexibility, cost-competitiveness, and U.S. onshore expertise to the table to ensure the highest efficiency and optimized expenses for IT businesses. 

Company info:

• Headquarters: Idaho, US
• Global presence: none
• Founded year: 1986
• Employees: 230 
• Hourly rate: $25 – $49/hr
• Minimum project size: $5,000
• Certificates: Undisclosed

Core mobile testing services: 

• Accessibility testing
• Automated testing
• Biometrics testing
• Performance testing
• Load testing
• Overall quality assurance 

Best for: Businesses who require a highly customized test approach.

Highlighted clients: Vimeo, Payeye, Sumsub, Quiznos, Pitney Bowes, Express.

8. TestMatick

With 219 mobile apps successfully tested, TestMatick is another capable mobile app testing partner to consider. 

With 125 amazing software testers well-versed in mobile technology intricacies and common issues of mobile software, TestMatick provides premier application testing services to 68 clients worldwide. TestMatick’s professionals confirm the quality of Android/iOS apps and validate the normal operation of any mobile app within the best timeframe and budget. They also provide free 20-hour software testing pilots for potential long-term customers.

Company info:

• Headquarters: New York, US
• Global presence: Ukraine, Germany, India
• Founded year: 2009
• Employees: 125+ 
• Hourly rate: $25 – $49/hr
• Minimum project size: $5,000
• Certificates: ISTQB

Core mobile testing services: 

• Functional testing
• Automated testing
• Usability Testing
• UI testing
• Multi-platform testing
• Load testing
• Exploratory testing

Best for: Test automation.

Highlighted clients: Improbable, Hubrick, Dahmakan, Weetrush, Samanage, Veracloud.

9. DeviQA

DeviQA is a reputable Poland-based QA and testing services provider that has been in the market for over 12 years. 

Founded in 2012, DeviQA is renowned for its team of seasoned testers who are familiar with common mobile app issues and popular mobile app testing tools, such as Appium and Ranorex. According to client reviews, DeviQA is proactively in charge of executing tests, supporting clients in fixing bugs, developing new features, and managing user reviews. Their core competence lies in automated testing.

Delve into mobile app testing tools!

Company info:

• Headquarters: Poland
• Global presence: UK, Germany, Ukraine, Slovakia
• Founded year: 2010
• Employees: 200+ 
• Hourly rate: $25 – $49/hr
• Minimum project size: Undisclosed
• Certificates: ISO 9001:2015, ISO 27001:2013

Core mobile testing services: 

• Test automation
• Agile testing
• API testing
• Performance testing
• Usability testing
• Functional testing 
• Mobile automation testing
• Mobile app testing strategy

Best for: Mobile app automated testing 

Highlighted clients: Solebit, CYDEF, Descript, WiserBrand, QIMA, SimpliField, Impaktsoft Projekt S.R.L. 

10. Testlio 

Testlio is well known for its crowdsourced testing solutions, honored among the top software testing companies on G2. 

Testlio empowers innovative engineering teams to test smarter and deliver exceptional software testing value. Besides 200+ full-time employees, the company leverages a network of thousands of freelancers to serve global clients across quality assurance, localization, performance testing, and more. 

Their clients are spread globally, mostly in AMER, EMEA, and APAC.

Company info:

• Headquarters: Texas, US
• Global presence: Estonia
• Founded year: 2012
• Employees: 220+
• Hourly rate: Undisclosed
• Minimum project size: $75,000+
• Certificates: Undisclosed

Core mobile testing services: 

• Android app testing
• iOS app testing
• Localization testing
• Payments testing
• Regression testing

Best for: Localization testing; Scalable test solutions.

Highlighted clients: Clari, Fox, Hallmark, HBO, Meetup, Monday.com, Paramount, RedBull.

This will help you: Cost Optimization Checklist in IT Outsourcing

11. ThinkSys

ThinkSys has become a popular name for its end-to-end testing services, from start to finish.

ThinkSys gives clients a leg up in delivering high-performing mobile applications with its excellent quality assurance services. Their QA testers implement an end-to-end testing process of your mobile application to ensure bug-free and efficient apps that captivate and delight users. They test different types of mobile apps, including native apps, cross-platform apps, and mobile web apps.

Company info:

• Headquarters: California, US
• Global presence: India, Israel
• Founded year: 2012
• Employees: 400+
• Hourly rate: Undisclosed
• Minimum project size: Undisclosed
• Certificates: ISO/IEC 27001:2013, CMMI Maturity Level 3

Core mobile testing services: 

• Mobile test automation
• Mobile accessibility testing
• Mobile app cloud testing
• Mobile performance testing
• Mobile compatibility testing
• Mobile usability testing
• Mobile functional testing
• Mobile security testing 

Highlighted clients: Servicemesh, ProActive, Roto-Rooter, Nowvel, Bond University.

12. Testbytes

Testbytes is among the outstanding mobile app testing companies in India with comprehensive testing and quality assurance solutions. 

 With the advantage of low expenses in India, Testbytes provides software testing and QA consulting services at a reasonable cost. Testbytes mobile app testing services can assure you a wide range of mobile devices to test your app in real-life scenarios, extensive test coverage to trace out bugs, and detailed reports regarding app issues. 

Company info:

• Headquarters: India
• Global presence: None
• Founded year: 2011
• Employees: 50 – 249
• Hourly rate: < $25/hr
• Minimum project size: $10,000
• Certificates: ISTQB, CSTE, CSQA, and Automation Tools.

Core mobile testing services: 

• Functional Testing
• Usability Testing
• Compatibility Testing
• Installation Testing
• Localization Testing
• Performance testing
• Security testing

Best for: Offshore test center in India.

Highlighted clients: Avalara, aVeda, Loop Health, Techno Alliance, Staffion, WallaZoom.

Tips for Choosing The Right Mobile App Testing Companies

We’ve given you the list of the top 12 mobile application testing companies and perhaps you’re wondering how to select the best match vendor. Don’t worry as we’ve got you covered. Here come the top deciding factors for picking the right one.

Service range 

First and foremost, your mobile app QA vendor should have all the capabilities that comprehensively cover the quality assurance of your mobile app. To figure out the needed skills and tools, don’t underestimate the project’s exploratory phase. 

At the same time, you can require your vendor to hand you some sample test cases for given functionality or pilots in a specific period to validate their capabilities. 

Service coverage 

Pointing out the problem of your mobile app is not enough. Your vendor should be able to consult you with the most beneficial test approach, provide bug analysis, reports & fix recommendations, plus overall quality recommendations to improve your product.

Relevant experience 

Executing a testing project for unfamiliar domains or industries may pose severe problems along the way. Therefore, your chosen mobile app testing partner should have experience with similar implementation. To check your vendor’s portfolio, you can ask them directly, explore their website, or check out their profile on popular review platforms like Clutch.

Pricing models 

When seeking testing services, you need to ensure that the pricing model fits your budget plan. There are two common pricing models in IT outsourcing: Fixed-price and T&M. In any case, your vendor should create a detailed project estimate that covers all costs and payment details. 

Customer service 

Delivering a quick response is a requisition to a quality service provider. There will be times when you need such urgent responses that getting timely support is priceless. At LQA, there is always a PiC available for our customers before, during, and following a project. As a result, many clients said that our fast responses are impressive, and are what make us stand out. 

Final Thoughts on Mobile App Testing Companies

We’ve gone through a detailed review of the top 12 mobile app testing companies. Each company may have its specialized offerings, hence will suit you on different levels, but all can ensure your app is flawless. 

Need expert consultation for your next mobile app testing projects? Talk to our QA experts now! 

Frequently Asked Questions about Mobile App Testing Companies

Fintech is a must-have feature for a business to adapt to the 4.0 world. With a good fintech app, for example, a business can pursue and engage more customers. But due to a lack of experience and expertise in technology, businesses don’t know how much does fintech app development cost. Let’s find out.

To get a thorough understanding of fintech app development costs, you should consider all of the following things:

• What features to include in fintech app development process?
• The requirements to build a good fintech app
• What is the cost for fintech app development?

 

1. What features to include in fintech app development process?

To successfully build a well-rounded fintech application that would attract customers, the creators have to contemplate many features and alleviate them. Mediocre features and obsolete solutions are out of the question. With a fintech app, it takes more than fancy design to attract customers. Take a look at what features you should consider for your upcoming fintech app here.

 

UI/UX designs for fintech app development

UI/UX design for a fintech app requires specific elements that developers and designers have to pay great attention to. These days, app users highly appreciate the application that can them freedom in how they can customize the app interface. This can make the fintech app their virtual space. The sense of belonging and ownership is considered the deciding factor for users to come back and continue to use the application.

The user-friendly interface is another must-have factor that needs to be included in your planning. Especially for youngsters, an user-friendly, clean interface is what they prefer. Chic and modernized designs are always more fascinating than those that are outdated.

More importantly, with financial operations in the app, the developers have to put simplify and visualized data in. For fintech app users, numbers, charts and graphs with in-depth analytics are what they are really looking for. Imagine a banking app with no visual reports on how the money flows, it will lack a crucial feature when compared to other applications.

 

Basic functionality of banking sector

An enhanced fintech app can’t be a fintech app if it lacks the basic functionality of the finance and banking sector. These functions are the must-have for your fintech app to survive among thousands of other applications. Without these basic functions, your app won’t have the chance to compete with other well-rounded apps.

The basic functions of the finance and banking sector should include:

• Account management
• Balance checking
• Money transferring
• Real-time checking mechanism
• Insurance management
• Asset management
• Stock exchange and cryptocurrency exchange

The functions mentioned above a just a few of many functions there are that you should have in a fintech app. Based on what niche market you are targeting, you can sort out what functions are the most important ones and put them on your fintech applications.

 

Data analytics

Data analytics is another important feature that you can’t miss when building a fintech app. Users now want to see every little detail and hourly report on their spending and financial activities. Of course, they would look for an application that can provide them with the data they need.

For the customers, when the app puts the tracking of users’ financial activities, the customers can now view their transaction history, set goals for saving money, track what they have done with the funds and generate reports. This is a plus point that anyone would highly appreciate.

For the business’ side, Fintech companies will have the chance to analyze data and get some insights to offer better financial advice to their clients. From their spending and the data on their savings, they can now devise loan schemes or personalized services for their clients.

 

Notifications and Updates

The notifications are among the first features to implement for fintech applications as this is the direct line of communication between users and the application. For fintech apps, you need to develop real-time notifications to keep your users stay-up-to date to any announcement. For example, any news on the bills, fraudulent alerts, spending, payments, etc. are the ones that need to be notified immediately if there are any.

It is the natural preference for people to want to stay updated. They want to get access to the most frequent technologies. When an application doesn’t have the trending features, many users are likely to switch to another one with better and newer features.

According to a survey conducted by PwC, 68% of the correspondents want to stay up-to-date with the latest technologies, although many of them find it hard to use them.

 

Payment gateway

Although payment is part of the basic functions of finance, it is an important one as it is present everywhere in our daily lives. The pace of life is getting faster and faster, and people want to do things as fast as possible, leading to the urgent demands for easy payments. This means that you should always include scanning and QR codes in your fintech app.

Plus, you should also concentrate on integrations within multiple fintech apps to extend the functionality and meet numerous users’ demands. This also adds enhanced functional capacity to your fintech app.

E.g. Banking app that connects to virtual wallets, making payments easier.

 

RPA in chatbots and other virtual assistant services

Robotic Process Automation utilizes digital robots to automate daily routine tasks. It has been adopted and implemented by many businesses in the world.
In a small survey of Deloitte Global RPA Survey, 53% of respondents have already started their RPA journey and further 19% of respondents plan to adopt RPA in the next two years.

This new technology is promised to cut down some operational costs massively as it can help us in:

• Automation in data validation & data migration between banking applications
• Customer account management
• Report creation
• Form filling
• Loan claim processing service
• Loan data updates
• Back-up of interest teller receipt

RPA can also handle a high volume of data at the same time without a glitch, which will be of great advantage to the customer experience. For advanced RPA, they can have the learning capability to take the customer experience to the next level.

 

2. The technical requirements to build a fintech app

In software projects, technical requirements typically refer to how the software is built, for example: which language it’s programmed in, which operating system it’s created for, and which standards it must meet.

To develop a fintech app successfully, choosing the right technologies is crucial. The tech stack selected affects the scalability, maintainability of the app, development time, and costs.

Below we consider three common app development approaches and relevant technologies to create a fintech app:

• Mobile app development
• Web app development
• Hybrid development

 

Mobile app development

As mobile penetration is ubiquitous among us, the concept “mobile-first” is the most common thing you might encounter when starting the process of fintech app development. The term “mobile-first” shows how important it is for mobile app development to be carried out.

While native app development is suitable for building a fintech application that will run on a specific platform (iOS or Android). This approach involves using specific technologies and tools for a particular platform. You can take a look at the tools and technologies for mobile app development here.

 

Web app development

Web app development involves creating apps that use remote servers and run on mobile and desktops. This is a great way to be outside of the app stores and be available for both mobile and desktop users.

Hybrid development

Hybrid development can be the optimal solution in some cases that developers want to create an app that is both native and web. The application’s core is created using web technologies wrapped in a native container. Hybrid apps operate like websites but can use features of the mobile device.

There are a great variety of technologies and tools for fintech app development. To make the right choice, it’s necessary to consider such factors as app type, scalability, time to market, and security that are vital for every fintech app.

 

3. How much does it cost to create a fintech app?

Before going further into how to calculate the fintech app development cost, we should take a look at how much did it cost the giants in the field.

There’s been no confirmation of how much did it cost, but they estimated the cost of cloning these apps, and they go as follows:

• Facebook at $420,000 – $465,000 (at $150/hour)
• Shopee products somewhere between $100,000 and $300,000
• Applications like Uber, or Grab, with the supply and demand sides, around $142,350 – $178,000
• WhatsApp at $173,550 – $222,600

A 2017 survey of 12 leading app developers by Clutch revealed a wide range of $30,000 to $700,000 to develop a mobile app. Based on the average number of hours required to create an iOS-only app, they established the average cost to be $38,000 for a simple and $171,000 for a complex app.

Please be noted that the above applications are the top player both in fintech and the digital market in general, hence the high cost. For application with simpler operations and smaller scopes, the price varies according to the following factors:

• Type of fintech app (investing, banking, insurance, etc.). All of these apps require a high level of cybersecurity. However, with applications related to the stock market or cryptocurrency exchange, real-time fluctuations and need to be updated every second. Especially for the cryptocurrency market with hundreds of coins entering and getting out of the exchange every day, the developer team has to work on the algorithms to provide the most accurate insights of the data. For applications that deal with such new and complicated matters, the fintech app development cost will be higher.
• The number of required features. This can also be understood as the complexity of the app. The more features you want to involve in one single application, the more you have to spend on developing it.
• The platform you’re opting for (iOS, Android): There is a slight difference in the cost of an iOS and an Android application. Normally, to build an iOS app, you would have to spend more than you would with an Android app. The complexity of the app is another factor that defines the cost. A price tag for a simple app with a basic User Interface and a set of must-have features ranges from $40,000 to $60,000, Medium complexity app development project costs between $61,000 and $120,000 and, finally, a Complex app project would require at least $120,000 investment, if not more.
• Mobile app development approach: According to app development companies, the average cost to build a mobile app can be $1, 00,000 – $5, 00,000. On average the hybrid app development cost should be $5000 – $1,000,000, and it would take approximately 200 – 5000 hours to build.
• Needed technologies (languages, libraries, frameworks, Blockchain, AI, VR, etc.). Such technologies as Blockchain or AI/VR are trending, but the number of IT talents that have experience in these fields is not high.
• Team size: The bigger the team size is, the more it can cost you. Remember that the team has to include designers, testers, developers, BA, DevOps, Scrum master, etc. and each one of them can cost a fortune to recruit.
• Cost of deployment and support: App Store and Google Play fees, admin, servers and backend support, customer support, legal, and further development costs. Initial setup and basic controls, data storage, third-party integration, access to enterprise data, data encryption, and scalability. Maintenance expense, Copyright & legal fees, Sales and marketing.

If you cannot afford the management cost of an in-house team, there are other cooperation models that you can try, namely outsourcing company, hiring freelancers, etc.

Looking for a team to take care of your fintech app? Don’t hesitate to contact Lotus QA for quotations. We will help you vest out a reasonable pricing plan.

Contact us:

• Website: https://www.lotus-qa.com/
• Tel: (+84) 24-6660-7474
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