software-engineering
Predictive Quality Engineering: Using ML to Forecast Code Failures
Predictive quality engineering (PQE) is the practice of using machine learning models trained on historical defect data, code churn metrics, and test failure patterns to forecast which parts of a codebase are most likely to break.