African buffalo optimization algorithm based t-way test suite generation strategy for electronic-payment transactions

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.


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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: African buffalo optimization; e-payment system; t-way testing; software testing; combinatorial problem; optimization techniques
Subjects: T Technology > T Technology (General)
Depositing User: Mr. Abdul Rahim Mat Radzuan
Date Deposited: 29 Aug 2022 07:35
Last Modified: 29 Aug 2022 07:35

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