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题名:
when to use data from other projects for effort estimation
作者: Kocaguneli Ekrem ; Gay Gregory ; Menzies Tim ; Yang Ye ; Eung Jacky W.K
会议文集: ASE10 - Proceedings of the IEEE/ACM International Conference on Automated Software Engineering
会议名称: 25th IEEE/ACM International Conference on Automated Software Engineering, ASE10
会议日期: September
出版日期: 2010
会议地点: Antwerp, Belgium
关键词: Data mining ; Software engineering
出版地: United States
收录类别: EI
ISBN: 9781450000000
部门归属: (1) LCSEE, WVU, United States; (2) Institute of Software, Chinese Academy of Sciences, Beijing, China; (3) School of Computer Science and Engineering, University of New South Wales, Sydney, Australia
主办者: SIGSOFT; SIGART; IEEE CS
英文摘要: Collecting the data required for quality prediction within a development team is time-consuming and expensive. An alternative to make predictions using data that crosses from other projects or even other companies. We show that with/without relevancy filtering, imported data performs the same/worse (respectively) than using local data. Therefore,we recommend the use of relevancy filtering whenever generating estimates using data from another project. © 2010 ACM.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8968
Appears in Collections:互联网软件技术实验室 _会议论文

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Recommended Citation:
Kocaguneli Ekrem,Gay Gregory,Menzies Tim,et al. when to use data from other projects for effort estimation[C]. 见:25th IEEE/ACM International Conference on Automated Software Engineering, ASE10. Antwerp, Belgium. September.
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