Leveraging method call anomalies to improve the effectiveness of spectrum-based fault localization techniques for object-oriented programs

Jingxuan Tu, Lin Chen, Yuming Zhou, Jianjun Zhao, Baowen Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Spectrum-based fault localization (S FL) is a lightweight automated diagnosis technique. However, when applied to object-oriented programs, its diagnostic accuracy is limited as suspicious statements are distributed in different classes. In th is paper, we propose an approach to leveraging method call anomalies to improve the effectiveness of SFL techniques for locating faulty statements in an object-oriented program. First, we compute the suspiciousness for each class based on the difference in its method call sequences between passed and failed runs. Then, we use the suspiciousness information of classes to refine SFL ranks in order to enhance their fault localization effectiveness of object-oriented software. The empirical results show that the proposed approach is able to improve the effectiveness of SFL techniques.

Original languageEnglish
Title of host publicationProceedings - 12th International Conference on Quality Software, QSIC 2012
Pages1-8
Number of pages8
DOIs
Publication statusPublished - Nov 20 2012
Externally publishedYes
Event12th International Conference on Quality Software, QSIC 2012 - Xi'an, Shaanxi, China
Duration: Aug 27 2012Aug 29 2012

Publication series

NameProceedings - International Conference on Quality Software
ISSN (Print)1550-6002

Other

Other12th International Conference on Quality Software, QSIC 2012
CountryChina
CityXi'an, Shaanxi
Period8/27/128/29/12

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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