wielding statistical fault localization statistically

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	wielding statistical fault localization statistically
	Zhang Yunqian ; Chen Lin ; Jiang Bo ; Zhang Zhenyu
	2012
会议名称	23rd IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2012
会议日期	November 27, 2012 - November 30, 2012
会议地点	Dallas, TX, United states
关键词	Maximum likelihood estimation Software reliability Software testing Technical presentations
页码	189-194
中文摘要	Program debugging is a laborious but necessary phase of software development. It generally consists of fault localization, bug fix, and regression testing. Statistical software fault localization automates the manual and error-prone first task. It predicts fault locations by analyzing dynamic program spectrum captured in program runs. Previous studies mostly focused on how to provide reliable input data to such a technique and how to process the data accurately, but inadequately studied how to wield the output result of such a technique. In this work, we raise the assumption of symmetric distribution on the effectiveness of such a technique in locating faults, based on empirical results. We use maximum likelihood estimate and linear programming to develop a tuning method to enhance the result of a statistical fault localization technique. Experiments with two representative such techniques on two realistic UNIX utility programs validate our assumption and show our method effective. © 2012 IEEE.
英文摘要	Program debugging is a laborious but necessary phase of software development. It generally consists of fault localization, bug fix, and regression testing. Statistical software fault localization automates the manual and error-prone first task. It predicts fault locations by analyzing dynamic program spectrum captured in program runs. Previous studies mostly focused on how to provide reliable input data to such a technique and how to process the data accurately, but inadequately studied how to wield the output result of such a technique. In this work, we raise the assumption of symmetric distribution on the effectiveness of such a technique in locating faults, based on empirical results. We use maximum likelihood estimate and linear programming to develop a tuning method to enhance the result of a statistical fault localization technique. Experiments with two representative such techniques on two realistic UNIX utility programs validate our assumption and show our method effective. © 2012 IEEE.
收录类别	EI
会议录	Proceedings - 23rd IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2012
语种	英语
ISBN号	9780769549286
内容类型	会议论文
源URL	[http://ir.iscas.ac.cn/handle/311060/15819]
专题	软件研究所_软件所图书馆_会议论文
推荐引用方式 GB/T 7714	Zhang Yunqian,Chen Lin,Jiang Bo,et al. wielding statistical fault localization statistically[C]. 见:23rd IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2012. Dallas, TX, United states. November 27, 2012 - November 30, 2012.