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R
QA & Deployment

Regression Test

A regression test checks whether existing functionality still works correctly after a change.

A regression test verifies that existing functionality continues to work as expected after updates, fixes, or new features are introduced. Automated checks can quickly catch recurring issues, while critical user journeys and complex interactions should still be tested manually. The concept is closely related to Quality Assurance and End-to-End Test.

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Quality Assurance

End-to-End Test

Deployment

CI/CD

FAQ

Regression Test

What typical mistakes occur with regression tests?
Flaky tests that pass or fail without any code change are common, as are outdated test cases nobody maintains after changes. Equally problematic is the assumption that green tests mean the product is free of defects. They only show that the scenarios actually checked still work.
Which areas belong in a regression test suite?
Priority goes to business-critical user journeys, central integrations, and areas where bugs appeared recently. A suite that covers everything becomes slow and then gets ignored. A small, fast core set on every deployment plus a larger run before major releases is a sensible split.
When is it worth automating regression tests?
Automation pays off with frequent releases and stable, heavily used flows such as checkout, login, or forms. For rarely changed areas or a highly volatile interface, script maintenance outweighs the benefit. New or visually delicate areas are better checked manually.
How does a regression test differ from an end-to-end test?
A regression test describes a purpose, an end-to-end test describes a method. Regression tests check whether known behavior still works after changes and can include unit, integration, or end-to-end tests. End-to-end tests walk through a complete user journey and often form the core of a regression suite, but they are slower and costlier to maintain.