3 papers
cs.SE2025
Exploring the Potential and Limitations of Large Language Models for Novice Program Fault Localization
Hexiang Xu, Hengyuan Liu, Yonghao Wu +3
Novice programmers often face challenges in fault localization due to their limited experience and understanding of programming syntax and logic. Traditional methods like Spectrum-…
cs.SE2025
FLIMs: Fault Localization Interference Mutants, Definition, Recognition and Mitigation
Hengyuan Liu, Zheng Li, Donghua Wang +3
Mutation-based Fault Localization (MBFL) has been widely explored for automated software debugging, leveraging artificial mutants to identify faulty code entities. However, MBFL fa…
cs.SE2025
MBFL-DKMR: Improving Mutation-based Fault Localization through Denoising-based Kill Matrix Refinement
Hengyuan Liu, Xia Song, Yong Liu +1
Software debugging is a critical and time-consuming aspect of software development, with fault localization being a fundamental step that significantly impacts debugging efficiency…