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ABC Algorithm for Combinatorial Testing Problem

Alsewari, Abdulrahman A. and Alazzawi, Ammar K. and Rassem, Taha H. and M. Nomani, Kabir and Homaid, Ameen A. Ba and Alsariera, Yazan A. and Tairan, Nasser M. and Kamal Z., Zamli (2017) ABC Algorithm for Combinatorial Testing Problem. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9 (3-3). pp. 85-88. ISSN 2180-1843

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Abstract

Computer software is in high demand everywhere in the world. The high dependence on software makes software requirements more complicated. As a result, software testing tasks get costlier and challenging due to a large number of test cases, coupled with the vast number of the system requirements. This challenge presents the need for reduction of the system redundant test cases. A combinatorial testing approach gives an intended result from the optimization of the system test cases. Hence, this study implements a combinatorial testing strategy called Artificial Bee Colony Test Generation (ABC-TG) that helps to get rid of some of the current combinatorial testing strategies. Results obtained from the ABC-TG were benchmarked with the results obtained from existing strategies in order to determine the efficiency of the ABC-TG. Finally, ABC-TG shows the efficiency and effectiveness in terms of generating optimum test cases size of some of the case studies and a comparable result with the existing combinatorial testing strategies.

Item Type: Article
Uncontrolled Keywords: Computational Intelligence; Combinatorial Optimization Problem; Software Testing; Test Data Generation
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Centre of Excellence: IBM Centre of Excellence
Faculty of Computer System And Software Engineering
Depositing User: Dr. AbdulRahman Ahmed Mohammed Al-Sewari
Date Deposited: 17 Nov 2017 02:53
Last Modified: 25 Sep 2018 08:39
URI: http://umpir.ump.edu.my/id/eprint/19042
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