pafl: fault localization via noise reduction on coverage vector
文献类型：会议论文
| 作者 | Zhao Lei ; Zhang Zhenyu ; Wang Lina ; Yin Xiaodan |
| 出版日期 | 2011 |
| 会议名称 | SEKE 2011 - Proceedings of the 23rd International Conference on Software Engineering and Knowledge Engineering |
| 会议日期 | July 7, 20 |
| 会议地点 | Miami, FL, United states |
| 关键词 | Acoustic noise measurement Knowledge engineering Program debugging Software engineering Vectors |
| 页码 | 203-206 |
| 中文摘要 | Coverage-based fault localization techniques assess the extent of how much a program entity relates to faults by contrasting the execution spectra of passed executions and failed executions. However, previous studies show that different test cases may generate similar or identical coverage information in program execution, which makes the execution spectra of program entities indistinguishable to one another, thus involves noise and decreases the effectiveness of existing techniques. In this paper, we use the concept of coverage vector to model program coverage in execution, compare coverage vectors to capture the similarity among test cases, reduce noise by removing similar coverage vector to refine the execution spectra, and based on them assess the suspicious basic blocks being related to fault. We thus narrow down the search region and facilitate fault localization. The empirical evaluation using Siemens programs and realistic UNIX utilities shows that our technique effectively addresses the problem caused by similar test cases and outperforms existing representative techniques. |
| 英文摘要 | Coverage-based fault localization techniques assess the extent of how much a program entity relates to faults by contrasting the execution spectra of passed executions and failed executions. However, previous studies show that different test cases may generate similar or identical coverage information in program execution, which makes the execution spectra of program entities indistinguishable to one another, thus involves noise and decreases the effectiveness of existing techniques. In this paper, we use the concept of coverage vector to model program coverage in execution, compare coverage vectors to capture the similarity among test cases, reduce noise by removing similar coverage vector to refine the execution spectra, and based on them assess the suspicious basic blocks being related to fault. We thus narrow down the search region and facilitate fault localization. The empirical evaluation using Siemens programs and realistic UNIX utilities shows that our technique effectively addresses the problem caused by similar test cases and outperforms existing representative techniques. |
| 收录类别 | EI |
| 会议主办者 | Knowledge Systems Institute Graduate School |
| 会议录 | SEKE 2011 - Proceedings of the 23rd International Conference on Software Engineering and Knowledge Engineering
 |
| 语种 | 英语 |
| ISBN号 | 1891706292 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16262]  |
| 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 | Zhao Lei,Zhang Zhenyu,Wang Lina,et al. pafl: fault localization via noise reduction on coverage vector[C]. 见:SEKE 2011 - Proceedings of the 23rd International Conference on Software Engineering and Knowledge Engineering. Miami, FL, United states. July 7, 20. |
入库方式： OAI收割
来源：软件研究所
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