Predicting Software Metrics at Design Time

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

  • Affiliations:
  • Saarland University, Germany;Saarland University, Germany;University of Calgary, Canada;Saarland University, Germany

  • Venue:
  • PROFES '08 Proceedings of the 9th international conference on Product-Focused Software Process Improvement
  • Year:
  • 2008

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Abstract

How do problem domains impact software features? We mine software code bases to relate problem domains (characterized by imports) to code features such as complexity, size, or quality. The resulting predictors take the specific imports of a component and predict its size, complexity, and quality metrics. In an experiment involving 89 plug-ins of the ECLIPSE project, we found good prediction accuracy for most metrics. Since the predictors rely only on import relationships, and since these are available at design time, our approach allows for early estimation of crucial software metrics.