When to use data from other projects for effort estimation

  • Authors:
  • Ekrem Kocaguneli;Gregory Gay;Tim Menzies;Ye Yang;Jacky W. Keung

  • Affiliations:
  • WVU, Morgantown, WV, USA;WVU, Morgantown, WV, USA;WVU, Morgantown, WV, USA;Chinese Academy of Science, Beijing, China;UNSW, Sydney, Australia

  • Venue:
  • Proceedings of the IEEE/ACM international conference on Automated software engineering
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

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.