What Is Test Impact Analysis?

Test impact analysis identifies the portions of code affected by changes and optimizes test execution by selectively running relevant tests. This helps save time and resources by focusing testing efforts on areas impacted by code modifications.

Test impact analysis collects data from automated tests, including unit tests, integration tests, and regression tests. This analysis helps determine the impact of code changes on existing functionality.

Test impact analysis can leverage AI and machine learning to predict which tests are affected by code changes, enabling more focused and efficient testing by identifying the subset of tests that need execution.

Test impact analysis helps development teams identify the scope of testing needed for code changes, reducing test redundancy and accelerating the testing process while maintaining code quality.

Test impact analysis analyzes code changes and identifies the potential impact on existing tests. It helps optimize testing efforts by focusing on the affected areas, reducing the overall testing cycle time.