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Third International Conference On Quality Software
Mirror Adaptive Random Testing
Dallas, Texas
November 06-November 07
ISBN: 0-7695-2015-4
T. Y. Chen, Swinburne University of Technology
F. C. Kuo, Swinburne University of Technology
R. G. Merkel, Swinburne University of Technology
S. P. Ng, Swinburne University of Technology
Adaptive random testing (ART) has recently been introduced to improve the fault-detection effectiveness of random testing (RT) for certain types of failure-causing patterns. However, ART requires extra computations 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), to reduce these computations. Our simulation results clearly show that MART does improve the cost-effectiveness of ART.
Index Terms:
Adaptive Random Testing, Random testing, Black box testing, Test case selection, Software testing
Citation:
T. Y. Chen, F. C. Kuo, R. G. Merkel, S. P. Ng, "Mirror Adaptive Random Testing," qsic, pp.4, Third International Conference On Quality Software, 2003
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