mutation-testing

AI mutation testing improves unit test quality by generating targeted code mutants to simulate real-world bugs. It runs tests against these mutants to identify surviving defects, then automatically strengthens or creates assertions to kill them.

To run mutation testing, you can provide a specific file path, a directory, or simply default to analyzing git diff changed files. The tool processes the targeted code to generate mutants and validate test coverage.

Git is required for branch management and to default analysis to git diff changed files. Without git, you must explicitly provide a file path or directory to target the mutation testing process.

The best way to identify test coverage gaps is by introducing targeted code mutants and executing your test suite. Surviving mutants pinpoint exactly where existing tests fail to detect introduced defects.

Equivalent mutants are detected using AST analysis. This mechanism analyzes the code structure to identify mutations that do not change program behavior, ensuring accurate test gap identification.