Mirror adaptive random testing |
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| Authors: | TY Chen F-C Kuo RG Merkel SP Ng |
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| Affiliation: | School of Information Technology, Swinburne University of Technology, Hawthorn, Victoria 3122, Australia |
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| Abstract: | Recently, adaptive random testing (ART) has been introduced to improve the fault-detection effectiveness of random testing for non-point types of failure patterns. However, ART requires additional computations to ensure an even spread of test cases, which may render ART less cost-effective than random testing. This paper presents a new technique, namely mirror ART, to reduce these computations. It is an integration of the technique of mirroring and ART. Our simulation results clearly show that mirror ART does improve the cost-effectiveness of ART. |
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| Keywords: | Mirroring Adaptive random testing Random testing Black-box testing Test case selection Software testing |
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