@inproceedings{2e47322bd0ef4647929fa4ccba7265ba,
title = "Poster: A novel variable-centric fault localization technique",
abstract = "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 score of proposed techniques are reduced by 55\% compared to SFL techniques.",
keywords = "Software debugging, Software testing, Spectrum-based fault localization, Suspicious variable, Variable-centric",
author = "Jeongho Kim and Jindae Kim and Eunseok Lee",
note = "Publisher Copyright: {\textcopyright} 2018 Authors.; 40th ACM/IEEE International Conference on Software Engineering, ICSE 2018 ; Conference date: 27-05-2018 Through 03-06-2018",
year = "2018",
month = may,
day = "27",
doi = "10.1145/3183440.3194956",
language = "English",
series = "Proceedings - International Conference on Software Engineering",
publisher = "IEEE Computer Society",
pages = "252--253",
booktitle = "Proceedings - International Conference on Software Engineering",
}