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Hybridmigrating birds algorithm starategy for t-way test suite generation

H. L., Zakaria and Kamal Z., Zamli and Fakhrud, Din (2019) Hybridmigrating birds algorithm starategy for t-way test suite generation. In: 3rd International Conference On Computational Science And Information Managemant (ICOCSIM19), 20 - 23 March 2018 , Aruna Senggiri Resort And Convention Hotel,Lombok. pp. 1-6.. (Unpublished)

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Abstract

Hybrid meta-heuristics algorithms have gained popularity in recent years to solve!way test suite generation problems due to better exploration and exploitation capabilities of the hybridization. This paper presents the implementation of meta-heuristic search algorithms that are Migrating Birds Optimization (MBO) algorithm and Genetic Algorithm (GA) hybrid to away test data generation strategy. The proposed strategy is called Elitist Hybrid MBO-GA Strategy (EMBO-GA). Based on the published benchmarking results, the result of these strategies is competitive with most existing strategies in terms of the generated test size in many of the parameter configurations. In the case where this strategy is not the most optimal, the resulting test size is sufficiently competitive.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Migrating Birds Optimization (MBO); Genetic Algorithm (GA); Hybridization
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 13 Nov 2019 06:24
Last Modified: 13 Nov 2019 06:24
URI: http://umpir.ump.edu.my/id/eprint/25443
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