Idioma:

An Empirical Study of Fault Localization Families and Their Combinations

Zou, Daming ; Liang, Jingjing ; Xiong, Yingfei ; Ernst, Michael D. ; Zhang, Lu

IEEE transactions on software engineering, 2021-02, Vol.47 (2), p.332-347 [Periódico revisado por pares]

Texto completo disponível

Citações Citado por

Título:
An Empirical Study of Fault Localization Families and Their Combinations
Autor: Zou, Daming ; Liang, Jingjing ; Xiong, Yingfei ; Ernst, Michael D. ; Zhang, Lu
Assuntos: Computer bugs ; Debugging ; empirical study ; Fault diagnosis ; Fault localization ; Fault location ; History ; learning to rank ; Localization ; program debugging ; Software ; software testing ; Switches ; Task analysis
É parte de: IEEE transactions on software engineering, 2021-02, Vol.47 (2), p.332-347
Descrição: 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 percent 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.
Editor: New York: IEEE
Idioma: Inglês

Voltar para lista de resultados