African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions
The use of meta-heuristics in Combinatorial Interaction Testing (CIT) is becoming more and more popular due to their effectiveness and efficiency over the traditional methods especially in authenticating electronic payment (e�payment) transactions. Concomitantly, over the past two decades, there h...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/7592/ http://eprints.uthm.edu.my/7592/1/C3878_355331c56296290a232906ef47e59ad6.pdf |
| _version_ | 1848889148636659712 |
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| author | B. Odili, Julius B. Nasser, Abdullah A., Noraziah Abd Wahab, Mohd Helmy Ahmed, Mashuk |
| author_facet | B. Odili, Julius B. Nasser, Abdullah A., Noraziah Abd Wahab, Mohd Helmy Ahmed, Mashuk |
| author_sort | B. Odili, Julius |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | The use of meta-heuristics in Combinatorial Interaction Testing (CIT)
is becoming more and more popular due to their effectiveness and efficiency
over the traditional methods especially in authenticating electronic payment (e�payment) transactions. Concomitantly, over the past two decades, there has been
a rise both in the development of metaheuristics and their application to diverse
theoretical and practical areas including CIT in e-payments. In the implementa�tion of t-way strategies (the t is used to represent the interaction strength), mixed
results have been reported; some very exciting but, in other cases, the perfor�mance of metaheuristics has been, to say the least, below par. This mixed trend
has led many researchers to explore alternate ways of improving the effectiveness
and efficiency of metaheuristics in CIT, hence this study. It must be emphasized,
however, that available literature indicates that no particular metaheuristic testing
strategy has had consistent superior performance over the others in diverse testing
environments and configurations. The need for effectiveness, therefore, necessi�tates the need for algorithm hybridization to deploy only the component parts of
algorithms that have been proven to enhance overall search capabilities while at
the same time eliminating the demerits of particular algorithms in the hybridiza�tion procedure. In this paper, therefore, a hybrid variant of the African Buffalo
Optimization (ABO) algorithm is proposed for CIT. Four hybrid variants of the
ABO are proposed through a deliberate improvement of the ABO with four algo�rithmic components. Experimental procedures indicate that the hybridization of
the ABO with these algorithmic components led to faster convergence and greater
effectiveness superior to the outcomes of existing techniques, thereby placing the
algorithm among the best when compared with other methods/techniques. |
| first_indexed | 2025-11-15T20:21:34Z |
| format | Conference or Workshop Item |
| id | uthm-7592 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:21:34Z |
| publishDate | 2022 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-75922022-08-29T07:35:27Z http://eprints.uthm.edu.my/7592/ African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions B. Odili, Julius B. Nasser, Abdullah A., Noraziah Abd Wahab, Mohd Helmy Ahmed, Mashuk T Technology (General) The use of meta-heuristics in Combinatorial Interaction Testing (CIT) is becoming more and more popular due to their effectiveness and efficiency over the traditional methods especially in authenticating electronic payment (e�payment) transactions. Concomitantly, over the past two decades, there has been a rise both in the development of metaheuristics and their application to diverse theoretical and practical areas including CIT in e-payments. In the implementa�tion of t-way strategies (the t is used to represent the interaction strength), mixed results have been reported; some very exciting but, in other cases, the perfor�mance of metaheuristics has been, to say the least, below par. This mixed trend has led many researchers to explore alternate ways of improving the effectiveness and efficiency of metaheuristics in CIT, hence this study. It must be emphasized, however, that available literature indicates that no particular metaheuristic testing strategy has had consistent superior performance over the others in diverse testing environments and configurations. The need for effectiveness, therefore, necessi�tates the need for algorithm hybridization to deploy only the component parts of algorithms that have been proven to enhance overall search capabilities while at the same time eliminating the demerits of particular algorithms in the hybridiza�tion procedure. In this paper, therefore, a hybrid variant of the African Buffalo Optimization (ABO) algorithm is proposed for CIT. Four hybrid variants of the ABO are proposed through a deliberate improvement of the ABO with four algo�rithmic components. Experimental procedures indicate that the hybridization of the ABO with these algorithmic components led to faster convergence and greater effectiveness superior to the outcomes of existing techniques, thereby placing the algorithm among the best when compared with other methods/techniques. 2022 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/7592/1/C3878_355331c56296290a232906ef47e59ad6.pdf B. Odili, Julius and B. Nasser, Abdullah and A., Noraziah and Abd Wahab, Mohd Helmy and Ahmed, Mashuk (2022) African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions. In: ICETIS 2021, June 25-26, 2021, Onine. https://doi.org/10.1007/978-3-030-82616-1_15 |
| spellingShingle | T Technology (General) B. Odili, Julius B. Nasser, Abdullah A., Noraziah Abd Wahab, Mohd Helmy Ahmed, Mashuk African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions |
| title | African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions |
| title_full | African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions |
| title_fullStr | African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions |
| title_full_unstemmed | African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions |
| title_short | African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions |
| title_sort | african buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/7592/ http://eprints.uthm.edu.my/7592/ http://eprints.uthm.edu.my/7592/1/C3878_355331c56296290a232906ef47e59ad6.pdf |