Automated Regression Testing: Challenges, Benefits & Best Practices

Software updates are now implemented constantly, and they no longer serve as an excuse for interrupting the customer experience. In environments such as Agile or DevOps, which emphasize continuous integration and continuous development (CI/CD), iterations occur several times a day. Conducting manual regression testing every time becomes resource-draining, which is why automated regression testing steps in and becomes a game-changing player.

In the article below, we will underscore the significance of this type of testing, share the best practices and pitfalls, and reinforce the information with a solid example.

What Is Automated Regression Testing?

This testing method stands for assessing software functionality after any changes have taken place. The goal is to confirm that the code modifications didn’t negatively impact the existing structure and the system can perform as it used to before updates or new features implementation.

For example, you have added a new field for a user profile’s contact information. And it is essential to check whether all other connected functionalities, like login and dashboard loading, don’t “fall off”. By neglecting regression testing, you leave your team and customers in uncertainty, where software units might stop integrating and performing efficiently.

Revalidation testing can be executed manually or set up for automatic bug rechecking. Regularly reviewing the system whenever a minor adjustment occurs is impractical and can slow down related processes.

With automated regression testing, you are in safe hands any time adjustments occur. And for teams that work following modern agile frameworks, opting for automation is a must.

Benefits of Automated Regression Testing

Automated regression testing is a software testing strategy with multiple key benefits, including:

• Improved efficiency and speed. With an automatically set-up regression checking routine, you verify the functionality right away. If you used to spend hours checking every app feature, it is no longer the case.
• Increased accuracy and reliability. Human quality assurance (QA) specialists can make mistakes when they are doing repetitive tasks countless times. Automated regression tests don’t lose their focus when running every day and deliver results with precision.
• Early defect detection. This testing type is applied right after the change has happened. So, developers can catch bugs early on without waiting for complaints from customers.
• Cost reduction. At the beginning, you need to invest in building automated regression test suites. But as you go on, you save on manual work, get fewer bugs, and have faster releases.
• Better test coverage. For automated regression assessment, the volume of work is not a question. As well as edgy cases. You can upload numerous scenarios and still receive constant results.
• Compliance with CI/CD pipeline. Continuous integration and delivery pipelines heavily rely on automation. It ensures that every code change is safe and won’t lead to poor software performance, maintaining product stability.
• More free time for higher-value tasks. Testers get more time for strategic and complex tasks when the heavy burden of repetitive manual regression testing is lifted from their shoulders.

Manual or Automated Regression Testing?

Let’s compare automated and manual regression testing types.

When to Automate Regression Testing

To determine if you need to automate regression testing, learn about the cases when it is worth the investment:

1. When the product has stable features. If your software has core functionality that doesn’t change very often, automation for regression testing is your choice. Stable units and components allow test scripts to remain effective and relevant over time.
2. When there are many repetitive tasks. If you notice that your QA team runs the same tests every time after the feature release or bug fixes, this is when you need to save their time and set up automation.
3. When there is a large-scale refactoring. If your product will undergo major code restructuring, you definitely qualify for conducting an automated regression test.
4. When you have frequent deployments under CI/CD pipelines. With automation in place, continuous development turns into a less stressful procedure and enables fast and unattended validation of builds.

Regression Testing Automation Strategy

When you decide you want to exercise the benefits of automated regression testing, you need to come up with a strategy that doesn’t only oversee test scripts. It has to answer the questions: “How?”, “What?”, and “When?”.

The first decision is to decide what should be automated. Enabling automation doesn’t mean that every test should be self-operating. When prioritizing the test coverage areas, focus on core business logic, key user flows, and frequently used features. Leave rarely utilized functionality for manual work.

When you have the scope of work, you need to decide what features have more value and can’t pose a real risk if being disabled. For instance, if payment methods don’t connect with bank processors, you can incur revenue loss. However, minor user interface (UI) glitches can wait.

And finally, it is crucial to remember that building an automated regression suite is a gradual process, and you don’t have to aim for having a complete suite from day one.

The Best Tools for Automated Regression Testing

Choosing automated regression testing tools should be based on your tech stack, application type, and testers’ expertise. The following instruments are widely applied for setting up automation regression testing:

• Selenium WebDriver (web). Selenium is one of the most famous frameworks for web automation. It works perfectly with various programming languages and browsers and is ideal for cross-browser testing.
• Cypress (web). If you work in the JavaScript ecosystem, you can enjoy Cypress with its quick and reliable assistance with real-time reloading.
• Playwright (web, mobile, desktop). Developed by Microsoft, Playwright allows testers to execute parallel testing and implement modern automation scenarios like network mocking.
• Appium (mobile). For iOS and Android applications, this language-agnostic tool helps with automating testing for hybrid and native apps.
• Postman/RestAssured (API). Postman is highly valued for its intuitive interface. It is used for manual and automated API testing.
• JUnit/TestNG (Java). JUnit is a popular Java-based tool that easily integrates with CI/CD pipelines. It works well with parameterization and grouping.
• NUnit/xUnit.net (C#). .NET developers adore NUnit as it helps structure automated test scripts and integrates with Jenkins and Azure DevOps.
• PyTest (Python). PyTest is widely used for building modular and scalable tests in Python. Additionally, it integrates with Selenium and API testing libraries.

Best Practices for Automated Regression Testing

To get the maximum out of automated regression testing, follow these practices:

• Write easy-to-scale and reuse test cases. Don’t aim for targeting hard-coded values.
• Set up stable and consistent test environments. This will help you prevent false positives and inaccurate results.
• Approach defining test coverage wisely so as not to overlap in certain areas and duplicate efforts.
• Pay attention to flaky tests and regularly review them, as they can undermine trust in automation.
• Store your tests in secure areas with version control and track your test execution strategy for failures and shortcomings.

Challenges and Pitfalls to Avoid

Testers usually come across such challenges in automated regression testing. One of the most frequent pitfalls is over-automation. If you aim to automate every single test, you can cause unnecessary complexity, high maintenance costs, and wasted resources.

Another issue is poor test selection. You should prioritize running tests that have a high risk appetite and value. Don’t invest your time and resources into automating scripts that are unstable and won’t discover meaningful bugs.

Not paying attention to test failures also becomes a challenge. If you frequently let them rerun, they can get into production unnoticed. And one more crucial thing many might ignore is proper documentation. Lack of adequate procedure validation leads to confusion between teams.

Integration with CI/CD

Integrating automated assessment of software functionality goes hand in hand with CI/CD pipelines. Once you do this, you can expect a test to be triggered every time the code changes. And thus, you can catch the issues early.

Automation also opens the door to receiving real-time reports. You can see the outcomes as they appear on the dashboard and make data-driven decisions rapidly.

Example of Automated Regression Testing

Let’s imagine you want to test your SaaS after adding a new user permission feature. To make sure everything runs smoothly, you use GitLab CI for setting up automation and Selenium for creating test cases. Then, you incorporate Postman and add an API layer assessment into the suite.

As soon as the feature is deployed, the CI pipeline reacts at once, triggering the test to run. Then, you receive outcomes visualized with the help of Allure, and significant issues also get reported through notifications in Slack. The automated testing revealed a UI bug; you fixed it before release and saved your customers from error-prone software.

The Future of Automated Regression Testing

The future of automated regression testing and AI offers even more opportunities for testers than now. Experts predict that smart technologies will be able to optimize the assessment procedure by analyzing the code changes and predicting high-risk areas.

Another promising development is self-healing tests, the ones that adapt to logic adjustments and tailor to new conditions and environments. We will also see the distribution of low-code and no-code automation platforms that allow non-tech-savvy users to utilize them and apply for real testing.

Conclusion

Automated regression testing excels not only in providing speedy software assessment. This approach also positively impacts long-term product quality and development efficiency. Its advantages are essential for environments where changes are implemented rapidly and frequently.

And if you want to enhance your team’s productivity and get sustainable growth, invest in automation and let us help you reach new horizons!