Institutional Repository
| software fault localization based on program slicing spectrum | |
| Wen Wanzhi | |
| 2012 | |
| Conference Name | 34th International Conference on Software Engineering, ICSE 2012 |
| Source | Proceedings - International Conference on Software Engineering |
| Pages | 1511-1514 |
| Conference Date | June 2, 2012 - June 9, 2012 |
| Conference Place | Zurich, Switzerland |
| 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 |
| 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.; 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. |
| Keyword | Computer Software Maintenance Software Design Software Testing |
| 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 |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/15764 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Wen Wanzhi. software fault localization based on program slicing spectrum[C],2012:1511-1514. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment