Fit data selection for software effort estimation models

  • Authors:

  • Koji Toda;Akito Monden;Ken-ichi Matsumoto

  • Affiliations:

  • NARA Institute of Science and Technology, Kansai Science City, Japan;NARA Institute of Science and Technology, Kansai Science City, Japan;NARA Institute of Science and Technology, Kansai Science City, Japan

  • Venue:
  • Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.