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data transformation and attribute subset selection: do they help make differences in software failure prediction?
Jia Hao; Shu Fengdi; Yang Ye; Li Qi
2009
会议名称IEEE International Conference on Software Maintenance
会议录名称IEEE International Conference on Software Maintenance, ICSM
会议日期SEP 20-26,
会议地点Edmonton, CANADA
出版地10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
出版者2009 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE, CONFERENCE PROCEEDINGS
ISSN1063-6773
ISBN978-1-4244-4897-5
部门归属Jia, Hao; Shu, Fengdi; Yang, Ye Chinese Acad Sci, Inst Software, Beijing 100864, Peoples R China.
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.
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
主办者IEEE, IEEE Comp Soc, Tech Council Software Engn
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/8210
专题互联网软件技术实验室
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Jia Hao,Shu Fengdi,Yang Ye,et al. data transformation and attribute subset selection: do they help make differences in software failure prediction?[C]. 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:2009 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE, CONFERENCE PROCEEDINGS,2009.
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