when to use data from other projects for effort estimation

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	when to use data from other projects for effort estimation
	Kocaguneli Ekrem; Gay Gregory; Menzies Tim; Yang Ye; Eung Jacky W.K
	2010
会议名称	25th IEEE/ACM International Conference on Automated Software Engineering, ASE10
会议录名称	ASE10 - Proceedings of the IEEE/ACM International Conference on Automated Software Engineering
页码	321-324
会议日期	September
会议地点	Antwerp, Belgium
收录类别	EI
出版地	United States
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
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.
关键词	Data Mining Software Engineering
主办者	SIGSOFT; SIGART; IEEE CS
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8968
专题	互联网软件技术实验室
推荐引用方式 GB/T 7714	Kocaguneli Ekrem,Gay Gregory,Menzies Tim,et al. when to use data from other projects for effort estimation[C]. United States,2010:321-324.

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