Conference proceeding
Towards a software diagnosis method based on rough set reasoning
2008 IEEE 8TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY, VOLS 1 AND 2, pp 718-723
01 Jan 2008
Abstract
Software diagnosis for finding faults based on the test results is one of the most time-consuming and labor-intensive activities in large scale software development. Revealing the potential knowledge hidden in the test results or program constructs to assist this activity is a rational solution. In this paper, we propose two kinds of debugging applications based on rough set reasoning. One is to select key input parameters which will affect program's behaviors to facilitate diagnosis. The other is to extract association rules between program input and its behaviors. The inputs of the above two rough reasoning applications arc, all the test results of functional testing. Our work is the first attempt to utilize functional testing information to help software debugging. The feasibility and effectiveness of our approach is validated by some examples and experiments. In addition, some on-going research issues are also addressed
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Details
- Title
- Towards a software diagnosis method based on rough set reasoning
- Creators
- Chengying Mao - Huazhong University of Science and TechnologyXiaohua Hu - Jiangxi University of Finance and EconomicsYansheng Lu - Huazhong University of Science and TechnologyIEEE
- Publication Details
- 2008 IEEE 8TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY, VOLS 1 AND 2, pp 718-723
- Conference
- 2008 IEEE 8TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY, 8th
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- Postdoctoral Science Foundation of HUST GJJZ-2007-267 / Science Foundation of Jiangxi Educational Committee 20070410946 / China Postdoctoral Science Foundation Youth Foundation of Jiangxi University of Finance and Economics
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000259565600123
- Scopus ID
- 2-s2.0-51849113763
- Other Identifier
- 991019167592304721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic