genotoxic

Triage mutation testing results by using graph analysis to filter harmless mutants and prioritize actionable test improvements. This approach categorizes survived mutants based on code complexity, entrypoint reachability, and blast radius.

Identify false positives in mutation testing by analyzing the blast radius and entrypoint reachability of survived mutants. Graph-informed triage automatically filters out harmless mutants that do not impact critical code paths.

Find missing test coverage and high-value fuzzing targets by analyzing survived mutants with code graph data. The analysis categorizes findings into missing assertions and areas suitable for targeted fuzzing.

Yes, you need trailmark and necessist installed and configured for the target language. Trailmark computes blast radius and reachability, while necessist identifies weak assertions by removing test statements.

Necessist integration works by removing test statements and verifying if the tests still pass. This process identifies weak assertions and missing test coverage, which are then categorized in an actionable report.

Graph-informed triage supports any programming language where mutation testing frameworks, trailmark, and necessist are installed and configured. The tool analyzes the codebase to compute reachability for survived mutants.