When to use data from other projects for effort estimation

Ekrem Kocaguneli, Gregory Gay, Tim Menzies, Ye Yang, Jacky W. Keung

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.

BibTeX

@inproceedings{Kocaguneli-al:ASE10,
  author    = {Ekrem Kocaguneli and
               Gregory Gay and
               Tim Menzies and
               Ye Yang and
               Jacky W. Keung},
  title     = {When to use data from other projects for effort estimation},
  booktitle = {ASE},
  pages     = {321--324},
  publisher = {{ACM}},
  year      = {2010},
}

When to use data from other projects for effort estimation

Abstract

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