A reinforcement-learning test prioritizer with pipeline-specific rewards finds the first failing test within 16% of the suite on average and selects 87% of relevant post-submit transitions with a 50% time budget.
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Practical Pipeline-Aware Regression Test Optimization for Continuous Integration
A reinforcement-learning test prioritizer with pipeline-specific rewards finds the first failing test within 16% of the suite on average and selects 87% of relevant post-submit transitions with a 50% time budget.