Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation

Many interaction test data generation strategies (termed t-way strategies) have been developed over the past fifteen years. Despite being very useful, those strategies have assumed sequence-less interaction among the input-values. In this paper, we studied recent works in generating test data for se...

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Main Authors:	Kamal Z., Zamli, Mohd Hazli, Mohammed Zabil
Format:	Article
Language:	English
Published:	ICIC International 2013
Subjects:	Q Science (General) QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/6908/ http://umpir.ump.edu.my/id/eprint/6908/ http://umpir.ump.edu.my/id/eprint/6908/2/ICICIC2012-771-hazli-zamli.PDF

id	ump-6908
recordtype	eprints
spelling	ump-69082018-01-16T00:34:58Z http://umpir.ump.edu.my/id/eprint/6908/ Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation Kamal Z., Zamli Mohd Hazli, Mohammed Zabil Q Science (General) QA76 Computer software Many interaction test data generation strategies (termed t-way strategies) have been developed over the past fifteen years. Despite being very useful, those strategies have assumed sequence-less interaction among the input-values. In this paper, we studied recent works in generating test data for sequence-based t-way. We then proposed a new approach for generating sequence-based t-way, to overcome the unsupported features of the existing strategies as well as to complement the existing sequence-less t-way strategies. Using combinatorial method, our strategy adopted Bees Algorithm (BA) to generate the test data for sequence t-way. Benchmarking results show that our strategy is comparable, and produces better results in some scenarios. BA is the first bio-inspired AI strategy for sequence t-way. ICIC International 2013-03 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6908/2/ICICIC2012-771-hazli-zamli.PDF Kamal Z., Zamli and Mohd Hazli, Mohammed Zabil (2013) Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation. ICIC Express Letters , 7 (3). pp. 929-933. ISSN 1881-803X http://www.ijicic.org/el-7%283%29b.htm
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	Q Science (General) QA76 Computer software
spellingShingle	Q Science (General) QA76 Computer software Kamal Z., Zamli Mohd Hazli, Mohammed Zabil Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation
description	Many interaction test data generation strategies (termed t-way strategies) have been developed over the past fifteen years. Despite being very useful, those strategies have assumed sequence-less interaction among the input-values. In this paper, we studied recent works in generating test data for sequence-based t-way. We then proposed a new approach for generating sequence-based t-way, to overcome the unsupported features of the existing strategies as well as to complement the existing sequence-less t-way strategies. Using combinatorial method, our strategy adopted Bees Algorithm (BA) to generate the test data for sequence t-way. Benchmarking results show that our strategy is comparable, and produces better results in some scenarios. BA is the first bio-inspired AI strategy for sequence t-way.
format	Article
author	Kamal Z., Zamli Mohd Hazli, Mohammed Zabil
author_facet	Kamal Z., Zamli Mohd Hazli, Mohammed Zabil
author_sort	Kamal Z., Zamli
title	Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation
title_short	Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation
title_full	Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation
title_fullStr	Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation
title_full_unstemmed	Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation
title_sort	adopting bees algorithm for sequenced based t-way test data generation
publisher	ICIC International
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6908/ http://umpir.ump.edu.my/id/eprint/6908/ http://umpir.ump.edu.my/id/eprint/6908/2/ICICIC2012-771-hazli-zamli.PDF
first_indexed	2023-09-18T22:03:05Z
last_indexed	2023-09-18T22:03:05Z
_version_	1777414528363921408

Adopting Bees Algorithm for Sequenced Based T-Way Test Data Generation

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