wielding statistical fault localization statistically
文献类型：会议论文
| 作者 | Zhang Yunqian ; Chen Lin ; Jiang Bo ; Zhang Zhenyu |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：软件研究所
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