A reference architecture for continuous software quality intelligence integrates AI-driven requirement mining, risk-based testing, defect prediction, and production feedback in a closed loop, showing reduced defect leakage and faster testing on semi-synthetic data.
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AI-Augmented Closed-Loop Quality Engineering: A Reference Architecture for Continuous Software Quality Intelligence
A reference architecture for continuous software quality intelligence integrates AI-driven requirement mining, risk-based testing, defect prediction, and production feedback in a closed loop, showing reduced defect leakage and faster testing on semi-synthetic data.
- Commit-Aware Learning-Based Test Case Prioritization for Continuous Integration