Analysis of the reliability of a subset of change metrics for defect prediction

  • Authors:
  • Raimund Moser;Witold Pedrycz;Giancarlo Succi

  • Affiliations:
  • Free University of Bolzano-Bozen, Bolzano, Italy;University of Alberta, Edmonton, AB, Canada;Free University of Bolzano-Bozen, Bolzano, Italy

  • 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

In this paper, we describe an experiment, which analyzes the relative importance and stability of change metrics for predicting defects for 3 releases of the Eclipse project. The results indicate that out of 18 change metrics 3 metrics contain most information about software defects. Moreover, those 3 metrics remain stable across 3 releases of the Eclipse project. A comparative analysis with the full model shows that the prediction accuracy is not too much affected by using a subset of 3 metrics and the recall even improves.