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/25091/1/t-way%20Test%20Data%20Generation%20Strategy.pdf
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author Hasneeza, L. Zakaria
Kamal Z., Zamli
author_facet Hasneeza, L. Zakaria
Kamal Z., Zamli
author_sort Hasneeza, L. Zakaria
collection UMP
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
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spelling UMPir250912019-06-13T04:12:58Z 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.. (Published)
spellingShingle QA75 Electronic computers. Computer science
Hasneeza, L. Zakaria
Kamal Z., Zamli
T-way test data generation startegy with MBO algorithm
title 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_short T-way test data generation startegy with MBO algorithm
title_sort t way test data generation startegy with mbo algorithm
topic QA75 Electronic computers. Computer science
url http://umpir.ump.edu.my/id/eprint/25091/1/t-way%20Test%20Data%20Generation%20Strategy.pdf
work_keys_str_mv AT hasneezalzakaria twaytestdatagenerationstartegywithmboalgorithm
AT kamalzzamli twaytestdatagenerationstartegywithmboalgorithm