TitleAn empirical study of fault localization families and their combinations
Publication TypeJournal Article
Year of Publication2019
AuthorsZou D, Liang J, Xiong Y, Ernst MD, Zhang L
JournalIEEE Transactions on Software Engineering
Volume47
Pagination332-347
Date or Month PublishedFebruary
AbstractThe performance of fault localization techniques is critical to their adoption in practice. This paper reports on an empirical study of a wide range of fault localization techniques on real-world faults. Different from previous studies, this paper (1) considers a wide range of techniques from different families, (2) combines different techniques, and (3) considers the execution time of different techniques. Our results reveal that a combined technique significantly outperforms any individual combination may be a desirable way to apply fault localization techniques and that future techniques should also be evaluated in the combined setting. Our implementation is publicly available for evaluating and combining fault localization techniques.
Downloadshttps://combinefl.github.io CombineFL tool
Citation KeyZouLXEZ2019