ISCAS OpenIR  > 基础软件与系统重点实验室
a dynamic fault localization technique with noise reduction for java programs
Xu Jian; Chan W.K.; Zhang Zhenyu; Tse T.H.; Li Shanping
2011
Conference Name11th International Conference on Quality Software, QSIC 2011
SourceProceedings - International Conference on Quality Software
Pages11-20
Conference Date13-Jul-02
Conference PlaceMadrid, Spain
Indexed TypeEI
Publish PlaceUnited States
ISSN15506002
ISBN9780769544687
Department(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
English AbstractExisting 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.
KeywordAcoustic Noise Measurement Java Programming Language Tracking (Position)
SponsorshipComputer Science School of the Universidad Complutense de Madrid; Madrid Convention Bureau of the Madrid City Council
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/14391
Collection基础软件与系统重点实验室
Recommended Citation
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.
Files in This Item:
File Name/Size DocType Version Access License
a dynamic fault loca(488KB) 开放获取--Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xu Jian]'s Articles
[Chan W.K.]'s Articles
[Zhang Zhenyu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xu Jian]'s Articles
[Chan W.K.]'s Articles
[Zhang Zhenyu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xu Jian]'s Articles
[Chan W.K.]'s Articles
[Zhang Zhenyu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.