Mirror adaptive random testing

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2003 Australia English Publisher:Elsevier BVJournal:Information and Software Technology, volume 46, pages 1,001-1,010 (issn: 0950-5849,

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Authors: Tsong Yueh Chen; Fei-Ching Kuo; Robert G. Merkel; Sebastian P. Ng;

doi: 10.1016/j.infsof.2004.07.004 , 10.1109/qsic.2003.1319079 , 10.25916/sut.26247533.v1 , 10.25916/sut.26247533

handle: 1959.3/365

Mirror adaptive random testing

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Abstract

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.

Country

Australia

Related Organizations

Swinburne University of Technology
Australia

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