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Beijing, People’s Republic of

By Gregory Gay, Tim Menzies, Ye Yang and 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. Categories and Subject Descriptor

Topics: D.2.9 [Software Engineering, Effort Estimation Keywords Effort estimation
Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.9740
Provided by: CiteSeerX
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