when to use data from other projects for effort estimation
文献类型:会议论文
作者 | Kocaguneli Ekrem ; Gay Gregory ; Menzies Tim ; Yang Ye ; Eung Jacky W.K |
出版日期 | 2010 |
会议名称 | 25th IEEE/ACM International Conference on Automated Software Engineering, ASE10 |
会议日期 | September |
会议地点 | Antwerp, Belgium |
关键词 | Data mining Software engineering |
页码 | 321-324 |
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. |
收录类别 | EI |
会议主办者 | SIGSOFT; SIGART; IEEE CS |
会议录 | ASE10 - Proceedings of the IEEE/ACM International Conference on Automated Software Engineering
![]() |
会议录出版地 | United States |
ISBN号 | 9781450000000 |
源URL | [http://124.16.136.157/handle/311060/8968] ![]() |
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 | 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. |
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。