M. H., Mohamed Zabil and Kamal Z., Zamli and K. C., Lim (2018) Evaluating Bees Algorithm for Sequence-based T-way Testing Test Data Generation. Indian Journal of Science and Technology, 11 (4). pp. 1-9. ISSN 0974-6846 (Print); 0974-5645 (Online). (Published)
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Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Bees Algorithm; Optimization; Sequence-based T-way Testing; Test Case Generation |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 23 Feb 2018 03:24 |
| Last Modified: | 23 Feb 2018 03:24 |
| URI: | http://umpir.ump.edu.my/id/eprint/20570 |
| Download Statistic: | View Download Statistics |
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