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Title:
software fault localization based on program slicing spectrum
Author: Wen Wanzhi
Source: Proceedings - International Conference on Software Engineering
Conference Name: 34th International Conference on Software Engineering, ICSE 2012
Conference Date: June 2, 2012 - June 9, 2012
Issued Date: 2012
Conference Place: Zurich, Switzerland
Keyword: Computer software maintenance ; Software design ; Software testing
Indexed Type: EI
ISSN: 0270-5257
ISBN: 9781467310673
Department: (1) School of Computer Science and Engineering Southeast University Nanjing China; (2) State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Nanjing China
Sponsorship: IEEE Computer Society; ACM; University of Zurich (UZH), Department of Informatics; Technical Council on Software Engineering (TCSE); Special Interest Group on Software Engineering (SIGSOFT); SI-SE
Abstract: During software development and maintenance stages, programmers have to frequently debug the software. One of the most difficult and complex tasks in the debugging activity is software fault localization. A commonly-used method to fix software fault is computing suspiciousness of program elements according to failed test executions and passed test executions. However, this technique does not give full consideration to dependences between program elements, thus its capacity for efficient fault localization is limited. Our research intends to introduce program slicing technique and statistical method which extracts dependencies between program elements and refines execution history, then builds program slicing spectra to rank suspicious elements by a statistical metric. We expect that our method will contribute directly to the improvement of the effectiveness and the accuracy of software fault localization and reduce the software development and maintenance effort and cost. © 2012 IEEE.
English Abstract: During software development and maintenance stages, programmers have to frequently debug the software. One of the most difficult and complex tasks in the debugging activity is software fault localization. A commonly-used method to fix software fault is computing suspiciousness of program elements according to failed test executions and passed test executions. However, this technique does not give full consideration to dependences between program elements, thus its capacity for efficient fault localization is limited. Our research intends to introduce program slicing technique and statistical method which extracts dependencies between program elements and refines execution history, then builds program slicing spectra to rank suspicious elements by a statistical metric. We expect that our method will contribute directly to the improvement of the effectiveness and the accuracy of software fault localization and reduce the software development and maintenance effort and cost. © 2012 IEEE.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15764
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Wen Wanzhi. software fault localization based on program slicing spectrum[C]. 见:34th International Conference on Software Engineering, ICSE 2012. Zurich, Switzerland. June 2, 2012 - June 9, 2012.
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