Artificial Bee Colony Algorithm for Pairwise Test Generation

Alazzawi, Ammar K. and Homaid, Ameen A. Ba and Alomoush, Alaa A. and Alsewari, Abdulrahman A. (2017) Artificial Bee Colony Algorithm for Pairwise Test Generation. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9 (1-2). pp. 103-108. ISSN 2180-1843(print); 2289-8131(online). (Published)

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Our dependence on software applications has become dramatic in many activities of our daily life as they help to increase the efficiency of our tasks. These software applications have many sets of input values, parameters, software/hardware environments and system conditions, which need to be tested to ensure software reliability and quality. However, the whole comprehensive software testing is virtually not possible due to marketing pressure and resource constraints. In an attempt to solve this problem, there has been a development of a number of sampling and pairwise strategies in the literature. In this paper, we evaluated and proposed a pairwise strategy named Pairwise Artificial Bee Colony algorithm (PABC). According to the benchmarking results, the PABC strategies outdo some existing strategies to generate a test case in many of the system configurations taken into consideration. In a case where PABC is not at its optimal stage or its best performance, the experiments of a test case are effectively competitive. PABC progresses as a means to achieve the effective use of the artificial bee colony algorithm for pairwise testing reduction.

Item Type: Article
Uncontrolled Keywords: Interaction testing; Test data generation; T-way testing; Software testing; Natural based search algorithms; Optimizations problems
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Ms. Siti Nur Sahidah Ahmad
Date Deposited: 19 Jul 2017 04:43
Last Modified: 19 Jul 2017 04:43
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