#regression testing

Whether you're a software developer looking to enhance your testing procedures or simply curious about how tech giants ensure their products work seamlessly before launch, Selenium is a tool you should know about. As an open-source framework, it has become standard in automated testing and has numerous real-world applications. So, whether you want to improve website performance or streamline QA workflows, Selenium offers many benefits worth investigating.

If you're interested in learning more about Selenium, bank upon E-Vidya Technologies! E-Vidya Technologies offer Selenium online training in Hyderabad, which can give you the knowledge and skills you need to use this powerful tool effectively. With the proper training, one can become proficient in Selenium and take software testing to the next level.

This post will discuss some of the most compelling use cases for Selenium in software development. So, get ready to know what all the hype is about!

Benefits of Using Selenium

Selenium is a powerful tool for automating web browsers. It can be used for various tasks, from testing web applications to scraping website data. In this article, we'll look at some of the real-world applications of Selenium in software development.

1. Functional Testing

Selenium can be used to automate the functional testing of web applications. This can be a great way to catch bugs before your users do!

2. Performance Testing

Selenium can also be used to performance test web applications. This is important for ensuring that your application can handle real-world traffic levels.

3. Data Scraping

Another everyday use for Selenium is data scraping. If you need to gather data from multiple websites, Selenium can automate visiting each site and extracting the desired information.

Real-World Applications of Selenium in Software Development

One of Selenium's best benefits is that it can be used to automate web browsers. This means that Selenium can be used to quickly fill out forms, click buttons, and move around in complicated web apps. This can save a lot of time when testing web applications because you don't have to go through each step of each test case by hand.

In addition to automating web browsers, Selenium can be used for performance testing. For example, by using Selenium to simulate multiple users accessing a website or application simultaneously, you can identify potential bottlenecks and optimize your code accordingly. This can help ensure your application can handle high-traffic loads without issue.

Selenium can also be used for regression testing. This involves running tests against new versions of your code to ensure that no bugs have been introduced. By running regression tests automatically with Selenium, you can save much time and effort compared to manually doing them.

Case Studies and Examples

There are many ways that Selenium can be used to benefit software development, and here we'll explore a few real-world examples.

Using Selenium for Functional Testing

Functional testing is vital to the software development process, and Selenium can be used to automate this process. By creating tests that mimic real-world user interactions, Selenium can help ensure your software functions correctly before it's released. This can save you time and money by catching errors early on.

Using Selenium for Performance Testing

Performance testing is another crucial aspect of software development, and Selenium can again be used to automate this process. Selenium can help you identify bottlenecks and potential performance issues by creating tests that simulate heavy loads on your system. This information can then be used to optimize your system before release.

Using Selenium for Regression Testing

As your software evolves, it's important to periodically run regression tests to ensure that changes haven't introduced new bugs. Selenium can be used to automate this process, making it quick and easy to check for regressions. This helps keep your software stable and reliable as it grows more complex.

Conclusion

Selenium is a potent tool for software development, and its real-world applications are growing rapidly. Its ability to automate web browsers makes it perfect for automating tests and reducing the time spent on manual testing. Additionally, by using different driver APIs, you can expand the possibilities of Selenium even further. With so many features available to developers, there's no doubt that Selenium will become a standard tool in software development soon.

Among the testing practices that professional testers have for a digital product, regression tests are primary. Once an app or website is created, it also goes through a lot of changes and improvements. The actual impact and result of these changes need to be checked. The overall changes in the app framework should not put a negative impact or burden on the app in its final version. So, regression testing is important for every software.

What is regression testing for software? It is the test of the app framework for integrity after major changes in its code. Regression tests can maintain the efficiency of the software and conserve code integrity even after some changes to it.In this article, you will learn more about what regression testing in software is and what regression testing best practices are.

What is Regression Testing in Software?

Regression testing is the test of the software after changes to the code blocks to ensure that the changes do not degrade the quality of the code. The quality of the code and its purpose should remain the same even after changes to minimise issues. Moreover, the changes should not introduce new problems and issues in the app framework. Regression testing best practices include testing the app software again and again.

There are many types of regression testing, and all of these are done so that the app retains its purpose and functions. The regression tests ensure that the original code of the app does not break functionality or add functions that it did not code for after changes. The process of regression testing flags issues of functionality and security early in the development phase so that the app can be corrected and launched successfully.

Why is Regression Testing Critical for Software Resilience?

Ensuring System Stability: QA regression testing is important for ensuring system stability and software resilience. The testing process ensures that the bugs in the system get flagged quickly and the gaps in its functionality are reduced. With identification and debugging, testers reduce the factors that disrupt the app’s core features.

Supporting Continuous Integration/Continuous Deployment (CI/CD): The best practice for agile regression testing integrates well with continuous integration and deployment pipeline. These tests are fast and impactful with the use of automated tools. The tests help complete the testing cycle quickly so that the app is ready for the market through the CI/CD pipeline.

Maintaining User Trust: Best practices for regression testing help maintain user trust and deliver the best app products for an app development company. The app becomes more resilient and well-validated with repeated regression tests. Thus, the development team is able to deliver a high-quality app product to the user base.

Preventing Technical Debt: The best practice for regression testing is how it is done after changes to find out the bugs and underlying issues. This helps launch the app after covering all the issues and drawbacks. Regression tests ensure that there is no technical debt or remaining issues for which the testing team and developers have to work after the launch. If any, only minor issues come up after the launch of a well-tested app.

Best Practices for Agile Regression Testing

1. Prioritize Test Automation

Can regression testing be automated. You can get good results on tests if you use automation for regression testing. The automated tools are assistants to the manual testers who manage the lifecycl. Using advanced automation is one of the best practices in regression testing.

You can access a huge tool kit to create test cases for the software to be tested on. For example, Selenium, JUnit and Cypress are used extensively by app testers. You can look at Selenium as one of the best ways to test software for regression. The Selnium suite is very easy to manage and access for testers.

JUnit is a good tool that can offer the scope for running unit tests and other regression tests. Similarly, Cypress is also a useful tool for automated testing.

➢ Key Automation Strategies:

When using automated tools for software testing, the testers have to plan a strategy that helps them highlight the core areas of the app. Regression tests focus on the areas that have gone through massive changes and the areas that are absolutely necessary for the overall functionality of the app.

The best practice for regression testing is also to update the automation tools so that you use the most advanced ones for the testing cycles. Moreover, the automation tools should be supported by data sets and actions so that they can run accurately.

2. Build a Well-Organized Test Suite

➢ Segment Your Tests:

Smoke Tests: The automated regression testing team should plan the tests and include smoke tests to check for functionalities and bugs quickly after changes.

Critical Functionality Tests: The regression tests should also include critical functionality tests that screen for critical functions and features. The app code should be stable so that the core functions remain the same and work seamlessly.

Extended Coverage Tests: The testing strategy should cover all scenarios, including less critical issues and functions. The minute details and changes of the app should be tested, and for this, you need automated tools.

Keep Tests Modular: One of the best practices for automated regression testing is to break tests into small, actionable chunks that run independently and in sequence. The modular organisation of tests helps in planning and managing each test properly. This also helps in maintaining the productivity of the testing team.

➢ Regular Test Case Review:

During the regression testing life cycles, it is also important to test cases and see if the test cases align with the changes made in the app code. With time, changes accumulate, and the app code transforms. So, the team of testers has to review the designed test cases and modify them to align with the goals of testing. The existing test cases should be edited, and the cases that are of no use anymore should be removed from the environment.

3. Maintain an Up-to-Date Test Environment

Match Production as Closely as Possible: When automating the test cases for regression tests, it is important to match the production pace closely. After major change cycles, the testers should try to flag the bugs and issues as soon as possible.

Use Version Control for Test Scripts: The testing team should use version control systems that can track the code base changes and align the test scripts to the code base and new code. Without version control and tracking, the test cases can be confusing for the testers.

For integration into the CI pipeline, it is important to use the testing tools and cases that are in line with the changes that happen. After every change in the code base and functions, the testing team needs to plan for regression tests.

The testing team can also add automated test triggers to the deployment pipeline so that it gets reminders of when regression test cycles are needed.

4. Focus on Impact Analysis

Selective Testing: Regression tests are mainly about the impact of new changes on the code base of the original framework. Therefore, a majority of the efforts go into conducting selective tests on the changed and associated areas for impact analysis. By running an impact analysis, the testing team can flag the immediate impact on the app from the changes and control any issues that come up.

Change-based Testing: To improve the efficiency and results of the testing cycles, it is important to prioritise the areas that have changed or will most likely be affected by the recent changes. Change-based testing gives a direction to the testing process and reduces the need for extra steps or tasks in the regression test cycles.

Code Coverage Tools: The regression testing process should be supported by automated tools that increase the code coverage and check for minor as well as major changes in the code base.

5. Balance to strike between different types of Testing

➢ When to Use Manual Testing:

Apart from the use of automated regression testing best practices, manual testing processes are also important. Manual testing is good for regression tests when there have to be highly customised tests. If you cannot program the automated tool for the test, manual expertise steps in. For usability and exploratory tests, manual testing is the best approach.

➢ When to Use Automated Testing:

Automated testing is the right approach when the testing process includes a large volume of tests and extensive tests to be run. If there are repetitive test cases that can go faster with automation, then you need to deploy the automated tools. The tools are usually used when there is a need for quicker results and turnaround time.

6. Track and Measure Test Coverage

➢ Use Code Coverage Metrics:

To ensure that all areas of the app code have been tested, the testing team needs to use code coverage metrics. The testing team needs to analyse the code base and identify the areas that have not been tested thoroughly. You need to test for code coverage in both critical areas and minor aspects so that there is no room for error in the framework.

➢ Prioritise Based on Risk:

A best practice for agile regression testing is to conduct a risk-based assessment and prioritise the tests accordingly. High-risk areas and complex areas should have more focused resources for testing. Complex areas of the app framework might need a combination of manual and automated tests for regression validation. Risk-based testing is efficient and resource-oriented, where resource allocation is optimal.

Minimise Risk: Partner with Us for Hassle-Free Regression Testing!

Software testing has changed a lot over the last decade. With powerful testing tools and advanced automation frameworks, one question keeps coming up in the QA world: Can automation fully replace manual testing? The short answer is NO. However, automation plays a major role in improving software quality, speeding up releases, and increasing overall efficiency.  

To understand this better, it is important to look at how both manual and automation testing contribute at different stages of the software development lifecycle. 

What are Manual Testing and Automation Testing? 

Before we answer the main question, let’s understand the basics. Manual testing is performed by human testers who interact with the application to find defects. Testers use their experience, logic, and creativity to validate features, user flows, and real-world scenarios. This approach is especially useful when requirements are unclear or when user experience matters most. 

On the other hand, automation testing uses tools and scripts to execute test cases automatically. These scripts can be run repeatedly without human effort. This makes automation ideal for regression testing, performance testing, and large-scale test execution. Automation testing frameworks are now a key part of Agile and DevOps environments. They help teams release software faster and with confidence. 

Both methods are part of a well-rounded quality assurance (QA) process. 

Why People Think Automation Might Replace Manual Testing 

Over the years, automation tools have become much stronger. They run tests quickly, consistently, and with fewer errors compared to humans. Automation is now built into modern development practices like Agile and DevOps. This means tests can run often and early.  

Tools powered with artificial intelligence and machine learning are taking automation even further. For example, AI-driven frameworks can generate test cases automatically, self-heal broken scripts, and reduce maintenance efforts. This makes automation smarter and more efficient than ever.  

So, it’s no surprise that many people think automation will take over manual testing completely. 

Despite all these benefits, automation cannot fully replace manual testing at least not yet. There are clear reasons for this: 

1. Human Insight and Intuition 

Manual testing involves creative thinking and understanding of how real users behave. Humans can spot issues that automated scripts might miss, especially in areas such as: 

Usability and user experience 

Ad hoc changes that don’t have pre-written scripts 

Exploratory testing where testers follow instinct rather than predefined steps  

Automation runs pre-written scripts. It does not think like a human or adapt easily when requirements change. 

2. Complex and Evolving Scenarios 

Some testing scenarios evolve rapidly during development. These require human decision-making and judgement of something that automation tools cannot replicate easily. 

For example, when new features are added, a tester might need to explore the app deeper before writing automated tests. Testers can also evaluate real-world usage patterns; something automation doesn’t do by itself. 

3. Cost and Maintenance Constraints 

Automation testing may save time in the long run, but it also has initial costs, tools, setup, scripting, and maintenance. When software changes frequently, scripts must also be updated. This adds cost and effort.  

In contrast, a skilled QA tester can move quickly without worrying about updating scripts every time. 

Where Automation Shines and Where It Doesn’t 

Automation has a lot of advantages, and it should be part of every modern testing strategy. The key benefits are: 

Speed and Efficiency: Automation runs tests fast and can execute many tests simultaneously. 

Repetitive Tasks: It is ideal for regression testing and repetitive validation. 

Integration with CI/CD: Automation fits perfectly into DevOps pipelines, improving release frequency.  

To understand how automation testing works with modern applications and tools, you might find the guide on Web App Testing with API Automation in Katalon Studio very useful.  

However, automation still has limits. For example, tests that need human judgement, empathy, or unexpected user behavior are best done manually. This includes usability and exploratory testing. 

The Best Approach: Combine Both for Quality Success 

The most balanced and effective QA strategy uses both manual and automation testing. Neither works perfectly alone. 

Use manual testing for exploratory, spontaneous, and UX-oriented tasks. 

Use automation for high-volume, repetitive, and stable test cases. 

This combination gives you speed + human insight + quality assurance. These make your product stronger and more reliable. 

If you want a deeper understanding of how automation supports comprehensive testing strategies, browse through our blog about the Different Types of Testing. 

So, can automation fully replace manual testing? The answer remains no. Automation is a powerful enabler, but manual testing continues to play a vital role in ensuring software meets real user expectations. Together, they create a strong foundation for quality engineering and long-term product success. 

Software failures are way more common than most people like to admit. One small update, one tiny code change, and suddenly things that worked perfectly yesterday are broken today. It’s honestly frustrating, not just for users but also for developers and business owners trying to keep things running smooth.

The problem is, many teams focus only on new features and forget about what might break because of them. That’s where regression testing plays a huge role. It helps make sure existing functionality stays intact even after updates, fixes, or new releases.

Let’s talk about some common software failures that happen all the time, and how proper regression testing can stop them before users even notice.

Features That Suddenly Stop Working

This is probably the most annoying one. A login page that worked fine before suddenly won’t let users sign in. Or a checkout button that just does nothing. These issues usually happen when new code accidentally messes with existing functionality.

Without regression testing, these problems slip into production way too easily. And once users hit these issues, trust drops fast. They don’t care why it broke, they just know it doesn’t work anymore.

Regression testing checks all the important existing features after every update, so nothing randomly stops working.

Old Bugs Making a Comeback

Believe it or not, bugs that were fixed weeks or months ago can return. This usually happens when code changes overwrite previous fixes or when teams reuse older components without realizing it.

It feels ridiculous to fix the same issue twice, but it happens more than you think. Regression testing helps catch these “comeback bugs” early, before they embarrass your team or annoy your users again.

This is one of the big reasons why companies invest in Regression Testing Services In USA, especially when they release updates frequently and can’t afford repeated mistakes.

Broken Integrations and APIs

Modern software rarely works alone. Apps talk to payment gateways, third-party APIs, analytics tools, CRMs, and more. A small backend change can break these integrations silently.

Everything might look fine on the surface, but in the background, data isn’t syncing or transactions aren’t completing. These issues are dangerous because they often go unnoticed until customers complain.

Regression testing makes sure integrations still work the way they’re supposed to after any update or configuration change.

Performance Issues After Updates

Ever noticed how some apps become slower after an update? Pages take longer to load, actions feel laggy, and users start getting irritated. Performance problems often come from added features or unoptimized code.

Regression testing doesn’t just focus on functionality, it can also help detect performance drops by comparing behavior before and after changes. Catching this early helps teams fix issues before users start leaving bad reviews.

UI and User Experience Breaks

Buttons moving out of place, text overlapping, screens not fitting properly on certain devices — these UI issues usually appear after design or frontend updates.

They might seem minor, but they affect user experience a lot. Regression testing across devices and screen sizes helps ensure the app still looks and feels right everywhere, not just on the developer’s machine.

Security Gaps Created by Code Changes

Sometimes fixing one thing can accidentally open a security hole somewhere else. Maybe a validation check is removed, or a permission rule changes without proper testing.

Regression testing helps verify that existing security rules and validations still work after updates. This is especially important for apps dealing with payments, personal data, or sensitive business information.

Why Businesses Keep Learning This the Hard Way

A lot of companies skip proper regression testing because they think it takes too much time or effort. But then they spend way more time fixing production issues, handling angry users, and rolling back releases.

Regression testing isn’t about slowing development down. It’s about avoiding chaos later. When done right, it actually speeds things up by reducing unexpected failures.

Final Thoughts

Software failures don’t always come from bad code. Most of the time, they come from untested changes. That’s why regression testing is no longer optional, especially for businesses releasing updates regularly.

If you’re a startup founder, product owner, or business in the USA looking to avoid these common failures, investing in Regression Testing Services In USA is a smart move. And when it comes to reliable testing support, 5Data Inc offers services that help businesses catch issues early, maintain stability, and release updates with confidence.

Starting a tech startup is exciting, no doubt about it. You’ve got an idea, a product roadmap, maybe even a small but passionate dev team. Everything feels fast, energetic, and slightly chaotic. But here’s the thing most startups learn the hard way — every new update you release can break something old. And when that happens, users notice immediately.

This is where regression testing becomes a lifesaver, especially for startups that are moving fast and don’t have room for mistakes. In the USA, where competition is crazy high and users expect apps to just work, smart startups are investing early in regression testing instead of fixing disasters later.

Startups Move Fast, Bugs Move Faster

Startups don’t have the luxury of long testing cycles. Features get pushed quickly, bugs get fixed on the fly, and sometimes things go live before anyone even realizes what could break. That’s normal in early stages.

But the real problem starts when new changes mess up existing functionality. Maybe login stops working, payments fail, or notifications disappear. These aren’t small issues — they directly impact trust. One bad experience and users uninstall without thinking twice.

Regression testing is all about checking that your old features still work after new changes are added. And when done right, it saves startups from those “how did we miss this?” moments.

Why Startups in the USA Rely on Professional Testing

The startup ecosystem in the USA is super competitive. If your app crashes or behaves weirdly, there are ten other apps ready to replace it. That’s why many founders choose professional Regression Testing Services In USA instead of trying to manage everything in-house.

Outsourcing regression testing helps startups focus on building features while experts handle stability. These services usually bring automation, real-device testing, and experience across different industries. That combination is hard to match with a small internal QA team.

Plus, automated regression testing lets startups run tests overnight, during deployments, or before every release. It’s faster, more reliable, and way less stressful for everyone involved.

Cost Matters More Than You Think

A lot of founders assume testing is expensive. But what’s really expensive is fixing bugs after release. Lost users, bad reviews, emergency patches — all of that costs way more than proper testing.

Regression testing actually saves money in the long run. You catch issues early, reduce rework, and avoid production failures. For startups watching every dollar, that kind of efficiency matters a lot.

And since many testing providers offer flexible engagement models, startups don’t need to commit to massive contracts. They can scale testing as the product grows, which honestly makes a lot of sense.

Automation Gives Startups an Edge

Manual testing is fine in early days, but it doesn’t scale well. As your app grows, so does the number of test cases. Running them manually every time just isn’t practical.

That’s why automation plays a big role in regression testing today. Automated scripts can test core features again and again without human effort. This ensures consistency and speed, especially when releases happen frequently.

For startups, automation means confidence. You know that basic flows still work before pushing anything live. That peace of mind is huge when you’re already juggling product, funding, and growth.

Choosing the Right Testing Partner

Not all testing companies understand startups. Some overcomplicate things, others don’t adapt well to fast-changing requirements. A good testing partner should feel like an extension of your team, not an external burden.

They should understand agile workflows, tight deadlines, and the pressure founders face. Clear communication, quick feedback, and practical testing strategies make all the difference.

This is why many startups prefer specialized regression testing providers who have experience working with early-stage and growing companies.

Conclusion

For startups, stability is just as important as innovation. You can have the coolest features in the world, but if your app breaks after every update, users won’t stick around. That’s why investing in Regression Testing Services In USA is a smart move, not an optional one.

Companies like 5Data Inc offer reliable testing services designed to help startups maintain quality while moving fast. By combining automation, experienced QA teams, and startup-friendly processes, 5Data Inc helps founders focus on growth instead of worrying about bugs.

Automated Software Regression Testing Services In USA | 5DataInc

In today's fast-paced software development landscape, ensuring application reliability while maintaining development velocity is a constant challenge. Traditional testing approaches often fall short when dealing with complex, real-world scenarios. This is where record and replay testing emerges as a game-changing methodology that captures actual user interactions and system behaviors, transforming them into automated test suites that mirror real-world usage patterns.

Understanding Record and Replay Testing

Record and replay testing is an innovative approach that captures live application interactions, including API calls, database queries, and user actions, then replays them to verify system behavior. Unlike conventional testing methods that rely on manually written test cases, this technique leverages actual production or staging environment data to create comprehensive test scenarios.

The methodology works by recording all incoming requests, responses, and system states during application usage. These recordings serve as a baseline for future testing cycles, ensuring that any changes to the codebase don't break existing functionality. This approach is particularly valuable for complex applications with intricate dependencies and integration points.

Key Benefits of Record and Replay Testing

Enhanced Test Coverage

Traditional unit tests often miss edge cases and integration issues that occur in production environments. Record and replay testing captures these real-world scenarios automatically, providing superior test coverage without the manual effort typically required to identify and code these test cases.

Reduced Test Maintenance

One of the biggest challenges in software testing is maintaining test suites as applications evolve. Record and replay testing significantly reduces this burden by automatically updating test expectations based on actual system behavior, minimizing the need for constant manual test maintenance.

Faster Regression Testing

When new features are added or bugs are fixed, record and replay testing can quickly verify that existing functionality remains intact. This rapid feedback loop accelerates the development process and builds confidence in code changes.

Realistic Test Data

Instead of relying on synthetic test data that may not reflect real usage patterns, record and replay testing uses actual production data (appropriately sanitized), ensuring tests are as realistic as possible.

Implementation Strategies

Choosing the Right Recording Scope

Successful implementation begins with defining what to record. Consider capturing API interactions, database transactions, external service calls, and user interface interactions. The key is finding the right balance between comprehensive coverage and manageable test execution times.

Environment Considerations

Record and replay testing works best when implemented across multiple environments. Recording in staging environments that closely mirror production provides the most realistic test scenarios while maintaining security and data privacy requirements.

Data Management

Effective data management is crucial for record and replay testing success. This includes strategies for data anonymization, handling sensitive information, and managing the volume of recorded interactions to prevent storage and performance issues.

Common Challenges and Solutions

Handling Non-Deterministic Behavior

Applications often include elements like timestamps, random numbers, or external API responses that change between test runs. Successful record and replay implementation requires strategies to normalize or mock these variable elements while preserving the essential test logic.

Managing Test Data Volume

Recording all interactions can generate substantial amounts of test data. Implementing intelligent filtering and data retention policies helps manage storage requirements while maintaining test effectiveness.

Synchronization Issues

Timing differences between recording and replay environments can cause test failures. Robust replay mechanisms include appropriate wait conditions and timeout handling to ensure reliable test execution.

Best Practices for Success

Start Small and Scale Gradually

Begin with critical user journeys and core application functionality before expanding to cover edge cases and less common scenarios. This approach allows teams to build expertise and refine their processes before tackling more complex testing scenarios.

Integrate with CI/CD Pipelines

Record and replay tests should be seamlessly integrated into continuous integration and deployment pipelines to provide immediate feedback on code changes and prevent regressions from reaching production.

Monitor and Maintain Test Quality

Regular review of test results and recorded scenarios ensures that tests remain relevant and effective. This includes removing outdated scenarios and adding new ones based on evolving application usage patterns.

The Future of Testing

Record and replay testing represents a significant evolution in software quality assurance, moving beyond traditional approaches to embrace real-world complexity. As applications become increasingly sophisticated and user expectations continue to rise, this methodology provides a practical solution for maintaining quality while accelerating development cycles.

The adoption of record and replay testing is growing rapidly across industries, from fintech applications requiring absolute reliability to e-commerce platforms managing complex user interactions. Organizations implementing this approach report significant improvements in test coverage, reduced maintenance overhead, and faster release cycles.

Getting Started

Implementing record and replay testing doesn't require starting from scratch. Modern tools and platforms have made this approach more accessible than ever, with solutions that integrate seamlessly into existing development workflows. The key is choosing the right tools and establishing clear processes for recording, managing, and executing replay scenarios.

For teams looking to modernize their testing approach and improve software quality, record and replay testing offers a compelling path forward. By leveraging real-world usage patterns and automating test creation, organizations can achieve better test coverage with less manual effort, ultimately delivering more reliable software to their users.