Predicting Defects for Eclipse

  • Authors:
  • Thomas Zimmermann;Rahul Premraj;Andreas Zeller

  • Affiliations:
  • Saarland University, Germany;Saarland University, Germany;Saarland University, Germany

  • Venue:
  • PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
  • Year:
  • 2007

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Abstract

We have mapped defects from the bug database of Eclipse (one of the largest open-source projects) to source code locations. The resulting data set lists the number of pre- and post-release defects for every package and file in the Eclipse releases 2.0, 2.1, and 3.0. We additionally annotated the data with common complexity metrics. All data is publicly available and can serve as a benchmark for defect prediction models.