Large Language Models for Test-Free Fault Localization

Author:

Yang Aidan Z. H.1ORCID,Le Goues Claire1ORCID,Martins Ruben1ORCID,Hellendoorn Vincent1ORCID

Affiliation:

1. Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

Funder

NSF (National Science Foundation)

National Science Foundation

Publisher

ACM

Reference50 articles.

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2. X. Li, W. Li, Y. Zhang, and L. Zhang, "Deepfl: Integrating multiple fault diagnosis dimensions for deep fault localization" in Proceedings of the 28th ACM SIGSOFT international symposium on software testing and analysis, pp. 169--180, 2019.

3. Y. Lou Q. Zhu J. Dong X. Li Z. Sun D. Hao L. Zhang and L. Zhang "Boosting coverage-based fault localization via graph-based representation learning " in Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering pp. 664--676 2021.

4. Y. Li, S. Wang, and T. N. Nguyen, "Fault localization to detect co-change fixing locations," in Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, pp. 659--671, 2022.

5. J. A. Jones and M. J. Harrold, "Empirical evaluation of the tarantula automatic fault-localization technique," in Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering, pp. 273--282, 2005.

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