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题名:
a dynamic fault localization technique with noise reduction for java programs
作者: Xu Jian ; Chan W.K. ; Zhang Zhenyu ; Tse T.H. ; Li Shanping
会议文集: Proceedings - International Conference on Quality Software
会议名称: 11th International Conference on Quality Software, QSIC 2011
会议日期: 13-Jul-02
出版日期: 2011
会议地点: Madrid, Spain
关键词: Acoustic noise measurement ; Java programming language ; Tracking (position)
出版地: United States
收录类别: EI
ISSN: 15506002
ISBN: 9780769544687
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
主办者: Computer Science School of the Universidad Complutense de Madrid; Madrid Convention Bureau of the Madrid City Council
英文摘要: 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.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/14391
Appears in Collections:计算机科学国家重点实验室 _会议论文

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Recommended Citation:
Xu Jian,Chan W.K.,Zhang Zhenyu,et al. a dynamic fault localization technique with noise reduction for java programs[C]. 见:11th International Conference on Quality Software, QSIC 2011. Madrid, Spain. 13-Jul-02.
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