data transformation and attribute subset selection: do they help make differences in software failure prediction?
文献类型：会议论文
| 作者 | Jia Hao ; Shu Fengdi ; Yang Ye ; Li Qi |
| 出版日期 | 2009 |
| 会议名称 | IEEE International Conference on Software Maintenance |
| 会议日期 | SEP 20-26, |
| 会议地点 | Edmonton, CANADA |
| 关键词 | attribute subset selection data transformation in-house maintenance projects open-source projects software failure prediction attribute grammars public domain software software maintenance software performance evaluation |
| 英文摘要 | Data transformation and attribute subset selection have been adopted in improving software defect/failure prediction methods. However, little consensus was achieved on their effectiveness. This paper reports a comparative study on these two kinds of techniques combined with four classifier and datasets from two projects. The results indicate that data transformation displays unobvious influence on improving the performance, while attribute subset selection methods show distinguishably inconsistent output. Besides, consistency across releases and discrepancy between the open-source and in-house maintenance projects in the evaluation of these methods are discussed. |
| 会议主办者 | IEEE, IEEE Comp Soc, Tech Council Software Engn |
| 会议录 | IEEE International Conference on Software Maintenance, ICSM
 |
| 会议录出版者 | 2009 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE, CONFERENCE PROCEEDINGS |
| 会议录出版地 | 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA |
| ISSN号 | 1063-6773 |
| ISBN号 | 978-1-4244-4897-5 |
| 源URL | [http://124.16.136.157/handle/311060/8210]  |
| 专题 | 软件研究所_互联网软件技术实验室 _会议论文 |
| 推荐引用方式 GB/T 7714 | Jia Hao,Shu Fengdi,Yang Ye,et al. data transformation and attribute subset selection: do they help make differences in software failure prediction?[C]. 见:IEEE International Conference on Software Maintenance. Edmonton, CANADA. SEP 20-26,. |
入库方式： OAI收割
来源：软件研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。