When to use data from other projects for effort estimation
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | ASE'10 - Proceedings of the IEEE/ACM International Conference on Automated Software Engineering |
| Pages | 321-324 |
| Publication status | Published - 2010 |
| Externally published | Yes |
Conference
| Title | 25th IEEE/ACM International Conference on Automated Software Engineering, ASE'10 |
|---|---|
| Place | Belgium |
| City | Antwerp |
| Period | 20 - 24 September 2010 |
Link(s)
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.
Research Area(s)
- Cross, Data mining, Effort estimation, Within
Citation Format(s)
When to use data from other projects for effort estimation. / Kocaguneli, Ekrem; Gay, Gregory; Menzies, Tim et al.
ASE'10 - Proceedings of the IEEE/ACM International Conference on Automated Software Engineering. 2010. p. 321-324.
ASE'10 - Proceedings of the IEEE/ACM International Conference on Automated Software Engineering. 2010. p. 321-324.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
