software fault localization based on program slicing spectrum

ISCAS OpenIR

	software fault localization based on program slicing spectrum
	Wen Wanzhi
	2012
会议名称	34th International Conference on Software Engineering, ICSE 2012
会议录名称	Proceedings - International Conference on Software Engineering
页码	1511-1514
会议日期	June 2, 2012 - June 9, 2012
会议地点	Zurich, Switzerland
收录类别	EI
ISSN	0270-5257
ISBN	9781467310673
部门归属	(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
摘要	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.; 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.
关键词	Computer Software Maintenance Software Design Software Testing
主办者	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
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15764
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Wen Wanzhi. software fault localization based on program slicing spectrum[C],2012:1511-1514.