Mirror adaptive random testing
conference contribution
posted on 2024-07-26, 14:40 authored by Tsong ChenTsong Chen, Fei-Ching Kuo, R. G. Merkel, Sebastian NgSebastian NgAdaptive 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.
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PDF (Published version)Publisher DOI
ISBN
769520154ISSN
1550-6002Journal title
Proceedings - International Conference on Quality SoftwareConference name
International Conference on Quality SoftwareVolume
2003-JanuaryPagination
7 ppPublisher
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