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The optimal team for the task
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Change analysis and planning
We study what improvements have been made to the product, identify risk areas, and update test cases and checklists. We select the optimal set of tools (Selenium, Appium, PyTest, etc.) and form a strategy for regression checks, taking into account the specifics of the project.
Test preparation and automation
We are developing or updating test scenarios, including autotests to speed up regression runs. We set up their regular launch and ensure the stability of the test environment.
Performing regression checks
We are retesting previously tested functionality, analyzing the interaction of updated modules with unchanged ones. We promptly fix all identified defects.
Analysis of results and maintenance
We provide detailed reports, recommendations for correcting errors, and an assessment of product stability. We keep the test base up to date for future releases.
Regression testing is the process of re—checking a program after making changes to its code or environment settings. The goal: to make sure that the improvements did not cause new errors in the already working functionality. This approach helps to maintain the stability of the product with regular updates.
Regression testing is used when adding new features, fixing bugs, optimizing performance, or adapting an application to updated browsers and operating systems. Without it, there is a high risk that a new release will disrupt important modules that previously worked flawlessly.
Imagine that developers have added a new payment method to an online store. After that, QA engineers conduct regression testing to check whether the previous payment methods are working, whether orders are being processed correctly, whether customer data is stored in the database, and whether promotions and promo codes are broken.
Regression testing is a kind of "insurance" for a business: It detects failures before an update is released in production, saves time on fixes, and helps preserve the company's reputation.
Regression testing checks whether the functionality is still working correctly after changes to the code or system settings. For example, after adding a new feature, it is checked that the previous modules are working smoothly.
No, but automation significantly speeds up the process and reduces the chance of missing a defect. Manual testing is useful for complex scenarios or new features.
Based on previously tested scenarios, supplemented with cases to check the risk areas that could be affected after the changes.
After each code update, bug fix, or new functionality implementation. Autotests can be run on every commit or on a schedule (daily/weekly).
Functional testing answers the question "What does the system do?" — checks the implementation of requirements. Regression testing — "Did it stop working after the updates?".
