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Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation

Hasneeza, L. Zakaria and Kamal Z., Zamli and Fakhrud, Din (2019) Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation. In: 3rd International Conference on Computational Science and Information Management (ICoCSIM 2019), 21-24 March 2019 , Lombok, Indonesia. pp. 1-6.. (Unpublished)

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Abstract

Hybrid meta-heuristics algorithms have gained popularity in recent years to solve t-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 a t-way 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), T-way Test;
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 13 Jun 2019 04:58
Last Modified: 13 Jun 2019 04:58
URI: http://umpir.ump.edu.my/id/eprint/25093
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