Ruishi Huang, Binbin Yang, Shumei Wu, Zheng Li, Doyle Paul, Xiaoyi Zhang, Xiang Chen, Yong Liu
Software Engineering Empirical Research Radar
GraMuS: Boosting statement-level fault localization via graph representation and multimodal information
Paper detail page in SEER Radar.
JSS 2026
Debugging / Fault Localization / Diagnosis / Repair; Program Analysis / Verification / Formal Methods; Testing / QA
Structured Fault Localization; Explainable Debugging Chains
Abstract / Summary
GraMuS combines a fine-grained fault-diagnosis graph with gated graph attention and a multi-level collaborative loss. It models methods, statements, mutants, tests, structure, calls, coverage and mutation relations; evaluations cover Defects4J 2.0 and 374 Python programs from ConDefects.
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