Mirror adaptive random testing

doi:10.1016/j.infsof.2004.07.004

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Mirror adaptive random testing

2004-12-01

DOI：10.1016/j.infsof.2004.07.004

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Abstract

En 中文

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. (C) 2004 Elsevier B.V. All rights reserved.

Keywords:

mirroring

adaptive random testing

random testing

black-box testing

test case selection

software testing

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