T-way test data generation startegy with MBO algorithm

This paper presented the implementation of a nature inspired metaheuristic 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 improved MBO Testing Strategy (iMTS). Based o...

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Main Authors: Hasneeza, L. Zakaria, Kamal Z., Zamli
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/25091/
http://umpir.ump.edu.my/id/eprint/25091/1/t-way%20Test%20Data%20Generation%20Strategy.pdf
id ump-25091
recordtype eprints
spelling ump-250912019-06-13T04:12:58Z http://umpir.ump.edu.my/id/eprint/25091/ T-way test data generation startegy with MBO algorithm Hasneeza, L. Zakaria Kamal Z., Zamli QA75 Electronic computers. Computer science This paper presented the implementation of a nature inspired metaheuristic 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 improved MBO Testing Strategy (iMTS). 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. For a higher strength, iMTS is able to produce a minimum test suite size. In the case where these strategies are not the most optimal, the resulting test size is sufficiently competitive. The strategy serves as our research conduit to investigate the effectiveness of MBO algorithm for t-way test data generation strategy 2015 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25091/1/t-way%20Test%20Data%20Generation%20Strategy.pdf Hasneeza, L. Zakaria and Kamal Z., Zamli (2015) T-way test data generation startegy with MBO algorithm. In: 8th SOFTEC Asia 2015 conference, (SOFTEC 2015) Postgraduate Workshop, 7 September 2015 , Kuala Lumpur, Malaysia. pp. 16-21..
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
T-way test data generation startegy with MBO algorithm
description This paper presented the implementation of a nature inspired metaheuristic 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 improved MBO Testing Strategy (iMTS). 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. For a higher strength, iMTS is able to produce a minimum test suite size. In the case where these strategies are not the most optimal, the resulting test size is sufficiently competitive. The strategy serves as our research conduit to investigate the effectiveness of MBO algorithm for t-way test data generation strategy
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 T-way test data generation startegy with MBO algorithm
title_short T-way test data generation startegy with MBO algorithm
title_full T-way test data generation startegy with MBO algorithm
title_fullStr T-way test data generation startegy with MBO algorithm
title_full_unstemmed T-way test data generation startegy with MBO algorithm
title_sort t-way test data generation startegy with mbo algorithm
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/25091/
http://umpir.ump.edu.my/id/eprint/25091/1/t-way%20Test%20Data%20Generation%20Strategy.pdf
first_indexed 2023-09-18T22:38:21Z
last_indexed 2023-09-18T22:38:21Z
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