Heling Cao, Ruidong Jia, Fangchao Tian, Yue Xie, Yonghe Chu, Junliang Jia, Fei Wang, Haoyang Ge
Software Engineering Empirical Research Radar
Iterative self-organizing clustering for software multiple-fault localisation
Paper detail page in SEER Radar.
Journal of King Saud University - Computer and Information Sciences 2026
Debugging / Fault Localization / Diagnosis / Repair; Testing / QA
Structured Fault Localization
Abstract / Summary
ISOMFL represents failed test cases as vectors, improves Footrule distance, chooses stable initial cluster centers from a dissimilarity matrix, and adjusts cluster counts through self-organization. The open-access study evaluates six multi-fault subjects from SIR and Faults4J and provides a public reproduction repository.
External Links
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