eprintid: 12173
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/21/73
datestamp: 2023-11-10 03:26:43
lastmod: 2023-11-10 03:26:43
status_changed: 2023-11-10 01:17:03
type: article
metadata_visibility: show
creators_name: Alazzawi, A.K.
creators_name: Rais, H.M.
creators_name: Basri, S.
title: ABCVS: An artificial bee colony for generating variable t-way test sets
ispublished: pub
keywords: Application programs; Benchmarking; Software testing; Testing, Artificial bee colony algorithm; Bee colony algorithms; Combinatorial testing; Covering arrays; Performance; Software products; T-way testing; Test sets; Test suite generation; Variable-strength interaction, Optimization
note: cited By 18
abstract: To achieve acceptable quality and performance of any software product, it is crucial to assess various software components in the application. There exist various software-testing techniques such as combinatorial testing and covering array. However, problems such as t-way combinatorial explosion is still challenging in any combinatorial testing strategy, as it takes into consideration the entire combinations of input variables. Therefore, to overcome this problem, several optimizations and metaheuristic strategies have been suggested. One of the most effective optimization algorithms based techniques is the Artificial Bee Colony (ABC) algorithm. This paper presents t-way generation strategy for both a uniform and variable strength test suite by applying the ABC strategy (ABCVS) to reduce the size of the test suite and to subsequently enhance the test suite generation interaction. To assess both the effectiveness and performance of the presented ABCVS, several experiments were conducted applying various sets of benchmarks. The results revealed that the proposed ABCVS outweigh the existing based strategies and demonstrated wider interaction between components as opposed to AI-search based and computational based strategies. The results also revealed higher prospect of ABCVS in the aspect of its effectiveness and performance as observed in the majority of case studies. © 2018 The Science and Information (SAI) Organization Limited.
date: 2019
publisher: Science and Information Organization
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065852147&doi=10.14569%2fijacsa.2019.0100431&partnerID=40&md5=10caeea1a182e5b8c00aef696d492dec
id_number: 10.14569/ijacsa.2019.0100431
full_text_status: none
publication: International Journal of Advanced Computer Science and Applications
volume: 10
number: 4
pagerange: 259-274
refereed: TRUE
issn: 2158107X
citation:   Alazzawi, A.K. and Rais, H.M. and Basri, S.  (2019) ABCVS: An artificial bee colony for generating variable t-way test sets.  International Journal of Advanced Computer Science and Applications, 10 (4).  pp. 259-274.  ISSN 2158107X