Search-based test data generation from stateflow statecharts

  • Authors:
  • Andreas Windisch

  • Affiliations:
  • Berlin Institute of Technology, Berlin, Germany

  • Venue:
  • Proceedings of the 12th annual conference on Genetic and evolutionary computation
  • Year:
  • 2010

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Abstract

This paper proposes an effective method for automating the test data generation process aiming at structurally covering Stateflow statecharts, while assuring the generation of suitable and - most notably - realistic and meaningful system inputs. For this purpose the principles of evolutionary structural testing have been adapted both for the application to statecharts and for the consideration of continuous signals. The approach is evaluated using a complex industrial case study in comparison to random testing. The results demonstrate the value of this approach in industrial settings due to both its search effectiveness and its high degree of automation, potentially contributing to an improvement in quality assurance of embedded software systems.