Fit data selection for software effort estimation models

To construct a better multivariate regression model for software effort estimation, this paper proposes a method to select projects as a fit data from a given project data set based on estimation target's features. While regression models were often constructed from all available project data, this paper showed the necessity of fit data selection, and showed that the proposed method is one of the effective and systematic means to do the selection. Categories and Subject Descriptors D.2.9 [Software Engineering]: Management

• Type: Conference
• Year: 2008
• Where: ESEM
• Authors: Koji Toda, Akito Monden, Ken-ichi Matsumoto
• Keywords: Effort Estimation, ESEM 2008, Multivariate Regression, Regression Models, Software Engineering