AINeutralarXiv – CS AI · 18h ago5/10
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AI-Augmented Closed-Loop Quality Engineering: A Reference Architecture for Continuous Software Quality Intelligence
Researchers propose a closed-loop AI-enhanced architecture for continuous software quality intelligence that integrates requirement analysis, test prioritization, defect prediction, and production incident feedback. Testing on a semi-synthetic dataset demonstrates significant improvements: 35% reduction in test execution time, defect leakage reduction from 0.19 to 0.13, and detection effectiveness improvement from 0.72 to 0.84 across six release cycles.