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| software defect prediction using fuzzy support vector regression | |
| Yan Zhen; Chen Xinyu; Guo Ping | |
| 2010 | |
| Conference Name | 7th International Symposium on Neural Networks, ISNN 2010 |
| Source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 17-24 |
| Conference Date | 43988 |
| Conference Place | Shanghai, China |
| Indexed Type | ei |
| Publish Place | Germany |
| ISSN | 3029743 |
| ISBN | 3642133177 |
| Department | (1) School of Computer, Beijing Institute of Technology, Beijing 100081, China; (2) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China |
| English Abstract | Regression techniques have been applied to improve software quality by using software metrics to predict defect numbers in software modules. This can help developers allocate limited developing resources to modules containing more defects. In this paper, we propose a novel method of using Fuzzy Support Vector Regression (FSVR) in predicting software defect numbers. Fuzzification input of regressor can handle unbalanced software metrics dataset. Compared with the approach of support vector regression, the experiment results with the MIS and RSDIMU datasets indicate that FSVR can get lower mean squared error and higher accuracy of total number of defects for modules containing large number of defects. © 2010 Springer-Verlag. |
| Keyword | Computer Software Selection And Evaluation Defects Forecasting Regression Analysis Vectors |
| Sponsorship | Shanghai Jiao Tong University; The Chinese University of Hong Kong; IEEE Shanghai Section; International Neural Network Society; IEEE Computational Intelligence Society |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/8906 |
| Collection | 2010软件所会议论文 |
| Recommended Citation GB/T 7714 | Yan Zhen,Chen Xinyu,Guo Ping. software defect prediction using fuzzy support vector regression[C]. Germany,2010:17-24. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| software defect pred（131KB） | 限制开放 | -- | Application Full Text | |||
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