Institutional Repository
| when to use data from other projects for effort estimation | |
| Kocaguneli Ekrem; Gay Gregory; Menzies Tim; Yang Ye; Eung Jacky W.K | |
| 2010 | |
| Conference Name | 25th IEEE/ACM International Conference on Automated Software Engineering, ASE10 |
| Source | ASE10 - Proceedings of the IEEE/ACM International Conference on Automated Software Engineering |
| Pages | 321-324 |
| Conference Date | September |
| Conference Place | Antwerp, Belgium |
| Indexed Type | EI |
| Publish Place | United States |
| ISBN | 9781450000000 |
| Department | (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 |
| English Abstract | 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. |
| Keyword | Data Mining Software Engineering |
| Sponsorship | SIGSOFT; SIGART; IEEE CS |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/8968 |
| Collection | 互联网软件技术实验室 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| p321-kocaguneli.pdf（383KB） | 开放获取 | -- | Application Full Text | |||
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