A heterogeneous graph transformer with a GRU retention gate (RC_Detector) ranks deleted code lines in bug-fixing commits, reporting better Recall@N and mean first rank than Neural SZZ on a curated Java dataset.
Benchmarking classification models for software defect prediction: A proposed framework and novel findings
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Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning
A heterogeneous graph transformer with a GRU retention gate (RC_Detector) ranks deleted code lines in bug-fixing commits, reporting better Recall@N and mean first rank than Neural SZZ on a curated Java dataset.