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

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 Opt...

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Main Authors:	Hasneeza, L. Zakaria, Kamal Z., Zamli, Fakhrud, Din
Format:	Conference or Workshop Item
Language:	English
Published:	2019
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/25093/ http://umpir.ump.edu.my/id/eprint/25093/1/Hybrid%20Migrating%20Birds%20Optimization%20Strategy%20for%20t-way%20Test%20Suite%20Generation1.pdf

id	ump-25093
recordtype	eprints
spelling	ump-250932019-06-13T04:58:22Z http://umpir.ump.edu.my/id/eprint/25093/ Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation Hasneeza, L. Zakaria Kamal Z., Zamli Fakhrud, Din QA75 Electronic computers. Computer science 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. 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25093/1/Hybrid%20Migrating%20Birds%20Optimization%20Strategy%20for%20t-way%20Test%20Suite%20Generation1.pdf 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 (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Hasneeza, L. Zakaria Kamal Z., Zamli Fakhrud, Din Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation
description	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.
format	Conference or Workshop Item
author	Hasneeza, L. Zakaria Kamal Z., Zamli Fakhrud, Din
author_facet	Hasneeza, L. Zakaria Kamal Z., Zamli Fakhrud, Din
author_sort	Hasneeza, L. Zakaria
title	Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation
title_short	Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation
title_full	Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation
title_fullStr	Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation
title_full_unstemmed	Hybrid Migrating Birds Optimization Strategy for t-way Test Suite Generation
title_sort	hybrid migrating birds optimization strategy for t-way test suite generation
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/25093/ http://umpir.ump.edu.my/id/eprint/25093/1/Hybrid%20Migrating%20Birds%20Optimization%20Strategy%20for%20t-way%20Test%20Suite%20Generation1.pdf
first_indexed	2023-09-18T22:38:21Z
last_indexed	2023-09-18T22:38:21Z
_version_	1777416747287052288

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

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