Migrating Birds Optimization based Strategies for Pairwise Testing

Exhaustive testing of all possible combinations of input parameter values of a large system is impossible. Here, pairwise testing technique is often chosen owing to its effectiveness for bug detection. For pairwise testing, test cases are designed to cover all possible pair combinations of input p...

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Main Authors:	Hasneeza, L. Zakaria, Kamal Z., Zamli
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2015
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/11953/ http://umpir.ump.edu.my/id/eprint/11953/ http://umpir.ump.edu.my/id/eprint/11953/1/Migrating%20Birds%20Optimization%20based%20Strategies1.pdf

id	ump-11953
recordtype	eprints
spelling	ump-119532019-06-13T04:31:43Z http://umpir.ump.edu.my/id/eprint/11953/ Migrating Birds Optimization based Strategies for Pairwise Testing Hasneeza, L. Zakaria Kamal Z., Zamli QA76 Computer software Exhaustive testing of all possible combinations of input parameter values of a large system is impossible. Here, pairwise testing technique is often chosen owing to its effectiveness for bug detection. For pairwise testing, test cases are designed to cover all possible pair combinations of input parameter values at least once. In this paper, we investigate the adoption of Migrating Birds Optimization (MBO) algorithm as a strategy to find an optimal solution for pairwise test data reduction. Two strategies have been proposed; the first strategy implements the basic MBO algorithm, called Pairwise MBO Strategy (PMBOS) and the second strategy implements an improved Pairwise MBO strategy, called iPMBOS. The iPMBOS enhances the PMBOS with multiple neighborhood structures and elitism. Based on the published benchmarking results, these two strategies offers competitive results with most existing strategies in terms of the generated test size. We also noted that iPMBOS outperforms PMBOS in several parameter configurations, especially when the test size generated is relatively small. IEEE 2015 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/11953/1/Migrating%20Birds%20Optimization%20based%20Strategies1.pdf Hasneeza, L. Zakaria and Kamal Z., Zamli (2015) Migrating Birds Optimization based Strategies for Pairwise Testing. In: IEEE 9th Malaysian Software Engineering Conference (MySEC), 16-17 December 2015 , Kuala Lumpur, Malaysia. pp. 19-24.. ISBN 978-1-4673-8227-4 https://doi.org/10.1109/MySEC.2015.7475189
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Hasneeza, L. Zakaria Kamal Z., Zamli Migrating Birds Optimization based Strategies for Pairwise Testing
description	Exhaustive testing of all possible combinations of input parameter values of a large system is impossible. Here, pairwise testing technique is often chosen owing to its effectiveness for bug detection. For pairwise testing, test cases are designed to cover all possible pair combinations of input parameter values at least once. In this paper, we investigate the adoption of Migrating Birds Optimization (MBO) algorithm as a strategy to find an optimal solution for pairwise test data reduction. Two strategies have been proposed; the first strategy implements the basic MBO algorithm, called Pairwise MBO Strategy (PMBOS) and the second strategy implements an improved Pairwise MBO strategy, called iPMBOS. The iPMBOS enhances the PMBOS with multiple neighborhood structures and elitism. Based on the published benchmarking results, these two strategies offers competitive results with most existing strategies in terms of the generated test size. We also noted that iPMBOS outperforms PMBOS in several parameter configurations, especially when the test size generated is relatively small.
format	Conference or Workshop Item
author	Hasneeza, L. Zakaria Kamal Z., Zamli
author_facet	Hasneeza, L. Zakaria Kamal Z., Zamli
author_sort	Hasneeza, L. Zakaria
title	Migrating Birds Optimization based Strategies for Pairwise Testing
title_short	Migrating Birds Optimization based Strategies for Pairwise Testing
title_full	Migrating Birds Optimization based Strategies for Pairwise Testing
title_fullStr	Migrating Birds Optimization based Strategies for Pairwise Testing
title_full_unstemmed	Migrating Birds Optimization based Strategies for Pairwise Testing
title_sort	migrating birds optimization based strategies for pairwise testing
publisher	IEEE
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/11953/ http://umpir.ump.edu.my/id/eprint/11953/ http://umpir.ump.edu.my/id/eprint/11953/1/Migrating%20Birds%20Optimization%20based%20Strategies1.pdf
first_indexed	2023-09-18T22:13:03Z
last_indexed	2023-09-18T22:13:03Z
_version_	1777415155772030976

Migrating Birds Optimization based Strategies for Pairwise Testing

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