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a dynamic fault localization technique with noise reduction for java programs
Xu Jian; Chan W.K.; Zhang Zhenyu; Tse T.H.; Li Shanping
2011
会议名称11th International Conference on Quality Software, QSIC 2011
会议录名称Proceedings - International Conference on Quality Software
页码11-20
会议日期13-Jul-02
会议地点Madrid, Spain
收录类别EI
出版地United States
ISSN15506002
ISBN9780769544687
部门归属(1) Department of Computer Science, Zhejiang University, Hangzhou, China; (2) Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Hong Kong, Hong Kong; (3) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China; (4) Department of Computer Science, University of Hong Kong, Pokfulam, Hong Kong, Hong Kong
摘要Existing fault localization techniques combine various program features and similarity coefficients with the aim of precisely assessing the similarities among the dynamic spectra of these program features to predict the locations of faults. Many such techniques estimate the probability of a particular program feature causing the observed failures. They ignore the noise introduced by the other features on the same set of executions that may lead to the observed failures. In this paper, we propose both the use of chains of key basic blocks as program features and an innovative similarity coefficient that has noise reduction effect. We have implemented our proposal in a technique known as MKBC. We have empirically evaluated MKBC using three real-life medium-sized programs with real faults. The results show that MKBC outperforms Tarantula, Jaccard, SBI, and Ochiai significantly. © 2011 IEEE.
关键词Acoustic Noise Measurement Java Programming Language Tracking (Position)
主办者Computer Science School of the Universidad Complutense de Madrid; Madrid Convention Bureau of the Madrid City Council
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/14391
专题基础软件与系统重点实验室
推荐引用方式
GB/T 7714
Xu Jian,Chan W.K.,Zhang Zhenyu,et al. a dynamic fault localization technique with noise reduction for java programs[C]. United States,2011:11-20.
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