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Evaluating Bees Algorithm for Sequence-based T-way Testing Test Data Generation

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)

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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
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