MCTM applies method-level change-proneness from version history and call-graph analysis to minimize black-box test suites, reporting 0.93 accuracy and 0.94 fault detection rate on 15 Java projects with 635 buggy versions.
Regression testing minimization, selection and prioritization: a survey,
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A commit-aware learning-based test case prioritization technique using diffs, coverage relations, and history outperforms non-commit-aware baselines on five Defects4J projects under cross-project validation.
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Method-level Change-proneness: A Better Metric for Black-box Test Suite Minimization
MCTM applies method-level change-proneness from version history and call-graph analysis to minimize black-box test suites, reporting 0.93 accuracy and 0.94 fault detection rate on 15 Java projects with 635 buggy versions.
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Commit-Aware Learning-Based Test Case Prioritization for Continuous Integration
A commit-aware learning-based test case prioritization technique using diffs, coverage relations, and history outperforms non-commit-aware baselines on five Defects4J projects under cross-project validation.