regression-prediction

Regression prediction maps changed files to failure categories using keyword hints, prior failure history, and test coverage signals. You provide a change description and affected files to generate a ranked risk report with actionable test recommendations for the top three categories.

Regression prediction is a risk analysis process that anticipates likely failure categories for proposed code changes. It ranks top categories by probability and severity, generating specific validation tests to prioritize testing and enable faster rollback and remediation.

Yes, regression prediction scales to multi-file changes and multiple repositories. It integrates with existing CI signals to map affected files to regression categories, maintaining risk analysis accuracy across complex project structures.

To generate a regression risk report, provide the agent with a change description and the list of affected files. The tool analyzes test coverage signals and prior failure history to output top-3 risk scenarios with suggested validation tests.

Regression prediction integrates with existing CI signals and uses test coverage data as a core input. It combines these signals with keyword hints and prior failure history to map changed files to likely regression categories and rank them by severity.