regression-testing

Regression testing optimization in CI/CD pipelines is achieved through change-based test selection, impact analysis, and parallel execution strategies. This approach focuses only on impacted areas based on code changes, reducing test run time and providing faster feedback.

Risk-based test selection for regression suites is a strategy that prioritizes and runs tests based on code change impact and assessed risk. By analyzing modifications, it identifies affected tests and executes only the most relevant ones to cut down execution time.

Impact analysis for code changes is performed by evaluating modifications to identify which tests are affected in specific functional areas. It maps code changes to relevant test cases, ensuring that only tests directly related to the updates are executed.

Test optimization supports parallelization and sharding for faster feedback by suggesting execution strategies tailored to your test suite. It recommends fast-failing techniques and parallel test distribution to significantly speed up regression runs.

You can use this to verify fixes after modifying a specific module like payments by automatically identifying and running only the tests directly related to that functionality. This targeted regression testing cuts down unnecessary suite execution.

The best way to reduce regression suite execution time after a code change is implementing smart test selection and execution optimization. By focusing on impacted areas and utilizing parallelization, you minimize the total number of tests run while maintaining coverage.