Search-based mutation testing for Simulink models

  • Authors:
  • Yuan Zhan;John A. Clark

  • Affiliations:
  • University of York, York, UK;University of York, York, UK

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

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Abstract

The efficient and effective generation of test-data from high-level models is of crucial importance in advanced modern software engineering. Empirical studies have shown that mutation testing is highly effective. This paper describes how search-based automatic test-data generation methods can be used to find mutation adequate test-sets for Matlab/Simulink models.