Search Based Approaches to Component Selection and Prioritization for the Next Release Problem

  • Authors:
  • Paul Baker;Mark Harman;Kathleen Steinhofel;Alexandros Skaliotis

  • Affiliations:
  • Motorola Labs, Viables Estate, UK;Motorola Labs, Viables Estate, UK;Motorola Labs, Viables Estate, UK;Motorola Labs, Viables Estate, UK

  • Venue:
  • ICSM '06 Proceedings of the 22nd IEEE International Conference on Software Maintenance
  • Year:
  • 2006

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Abstract

This paper addresses the problem of determining the next set of releases in the course of software evolution. It formulates both ranking and selection of candidate software components as a series of feature subset selection problems to which search based software engineering can be applied. The approach is automated using greedy and simulated annealing algorithms and evaluated using a set of software components from the component base of a large telecommunications organisation. The results are compared to those obtained by a panel of (human) experts. The results show that the two automated approaches convincingly outperform the expert judgment approach.