Mirror Adaptive Random Testing

  • Authors:
  • T. Y. Chen;F. C. Kuo;R. G. Merkel;S. P. Ng

  • Affiliations:
  • -;-;-;-

  • Venue:
  • QSIC '03 Proceedings of the Third International Conference on Quality Software
  • Year:
  • 2003

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Abstract

Adaptive random testing (ART) has recently beenintroduced to improve the fault-detection effectivenessof random testing (RT) for certain types of failure-causingpatterns. However, ART requires extracomputations to ensure an even spread of test cases,which may render ART to be less cost-effective than RT.In this paper, we introduce an innovative approach,namely Mirror Adaptive Random Testing (MART), toreduce these computations. Our simulation resultsclearly show that MART does improve the cost-effectivenessof ART.