Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0164-1212(02)00062-6
Title: Optimal testing-resource allocation with genetic algorithm for modular software systems
Authors: Dai, Y.S.
Xie, M. 
Poh, K.L. 
Yang, B.
Keywords: Genetic algorithm
Modular software system
Software reliability
Testing-resource allocation
Issue Date: 15-Apr-2003
Source: Dai, Y.S., Xie, M., Poh, K.L., Yang, B. (2003-04-15). Optimal testing-resource allocation with genetic algorithm for modular software systems. Journal of Systems and Software 66 (1) : 47-55. ScholarBank@NUS Repository. https://doi.org/10.1016/S0164-1212(02)00062-6
Abstract: In software testing, an important issue is to allocate the limited testing resources to achieve maximum reliability. There are numerous publications on this issue, but the models are usually developed under the assumption of simple series or parallel modules. For complex system configuration, the optimization problem becomes difficult to solve. In this paper, we present a genetic algorithm for testing-resource allocation problems that can be used when the software systems structure is complex, and also when there are multiple objectives. We consider both system reliability and testing cost in the testing-resource allocation problems. The approach is easily implemented. Some numerical examples are shown to illustrate the applicability of the approach. © 2002 Elsevier Science Inc. All rights reserved.
Source Title: Journal of Systems and Software
URI: http://scholarbank.nus.edu.sg/handle/10635/63238
ISSN: 01641212
DOI: 10.1016/S0164-1212(02)00062-6
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