Search-based improvement of subsystem decompositions

  • Authors:
  • Olaf Seng;Markus Bauer;Matthias Biehl;Gert Pache

  • Affiliations:
  • FZI Forschungszentrum Informatik, Karlsruhe, Germany;FZI Forschungszentrum Informatik, Karlsruhe, Germany;FZI Forschungszentrum Informatik, Karlsruhe, Germany;FZI Forschungszentrum Informatik, Karlsruhe, Germany

  • Venue:
  • GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
  • Year:
  • 2005

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Abstract

The subsystem decomposition of a software system degrades gradually during its lifetime and therefore it gets harder and harder to maintain. As a result this decomposition needs to be reconditioned from time to time. The problem is to determine a suitable subsystem decomposition that can be used as a basis for future maintenance tasks. This paper describes a new methodology that computes such a subsystem decomposition by optimizing metrics and heuristics of good subsystem design. The main idea is to treat this task as a search problem and to solve it using a genetic algorithm.