Poster: A Novel Variable-centric Fault Localization Technique

Fault localization is one of the most important debugging tasks. Therefore, many techniques have already been developed to improve the efficiency. Among them, the spectrum-based fault localization technique is the most popular, and it has been the subject of 35% of total fault localization-related s...

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Bibliographic Details
Published in2018 IEEE/ACM 40th International Conference on Software Engineering: Companion (ICSE-Companion) pp. 252 - 253
Main Authors Kim, Jeongho, Kim, Jindae, Lee, Eunseok
Format Conference Proceeding
LanguageEnglish
Published ACM 01.05.2018
Subjects
Debugging
Next generation networking
Software debugging
Software engineering
Software testing
Spectrum-based fault localization
Suspicious variable
Task analysis
Variable-centric
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Summary:Fault localization is one of the most important debugging tasks. Therefore, many techniques have already been developed to improve the efficiency. Among them, the spectrum-based fault localization technique is the most popular, and it has been the subject of 35% of total fault localization-related studies. SFL techniques leverage coverage spectra and localize a fault based on the coverage difference between passed and failed test cases. However, it is difficult to localize faults effectively when coverage differences are not clear. Therefore, we propose a novel variable-centric fault localization technique to improve performance of existing techniques. Proposed technique extracts suspicious variables and uses them to generate a suspicious ranked list. In an evaluation with 120 C faults, the proposed technique outperforms SFL techniques with the same similarity coefficient. The average exam scores of proposed techniques are reduced by 55% compared to SFL techniques.
ISSN:2574-1934
DOI:10.1145/3183440.3194956