Indian Journal of Science and Technology
Year: 2018, Volume: 11, Issue: 4, Pages: 1-9
M. H. Mohamed Zabil1 *, K. Z. Zamli2 and K. C. Lim1
1 College of Computer Science and IT, Universiti Tenaga Nasional, Kajang, Malaysia; [email protected], [email protected]
2 Faculty of Computer System and Software Engineering, Universiti Malaysia Pahang, Pekan, Malaysia; [email protected]
T-way testing is a testing technique that is used to detect faults due to parameter interactions or software configurations. In order to perform t-way testing, software testers need to prepare the test data. For a system with many configuration parameters, the test data could lead to combinatorial explosion problem, since all possible parameter combinations need to be considered. Therefore, test data generation for t-way testing need to be optimized. Many t-way test data generation strategies have been proposed in the literature to generate optimized t-way test data. However, very few strategies have been proposed for sequence-based t-way. This paper presents statistical analysis on the performance of Bees Algorithm against the other sequence t-way strategies, in order to generate test cases.
Keywords: Bees Algorithm, Optimization, Sequence-based T-way Testing, Test Case Generation
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