An empirical study of fault localization families and their combinations

Download: PDF, CombineFL tool.

“An empirical study of fault localization families and their combinations” by Daming Zou, Jingjing Liang, Yingfei Xiong, Michael D. Ernst, and Lu Zhang. IEEE Transactions on Software Engineering, 2019.


The 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 technique (200% increase in faults localized in Top 1), suggesting that 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.

Download: PDF, CombineFL tool.

BibTeX entry:

   author = {Daming Zou and Jingjing Liang and Yingfei Xiong and Michael
	D. Ernst and Lu Zhang},
   title = {An empirical study of fault localization families and their
   journal = {IEEE Transactions on Software Engineering},
   year = {2019}

(This webpage was created with bibtex2web.)

Back to Michael Ernst's publications.