eprintid: 14014
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/40/14
datestamp: 2023-11-10 03:28:34
lastmod: 2023-11-10 03:28:34
status_changed: 2023-11-10 01:52:31
type: article
metadata_visibility: show
creators_name: Alazzawi, A.K.
creators_name: Rais, H.M.
creators_name: Basri, S.
creators_name: Alsariera, Y.A.
title: Pairwise Test Suite Generation Based on Hybrid Artificial Bee Colony Algorithm
ispublished: pub
keywords: Application programs; Fault detection; Particle swarm optimization (PSO); Well testing, Artificial bee colonies; Artificial bee colony algorithms; Artificial bee colony algorithms (ABC); Combinatorial testing; Critical applications; Meta heuristics; Optimization algorithms; Pair-wise Testing, Software testing
note: cited By 3; Conference of International Conference on Computer Science, Electrical and Electronic Engineering, ICCEE 2019 ; Conference Date: 29 April 2019 Through 30 April 2019; Conference Code:235249
abstract: Software plays an important part of our daily life in order to aid and facilitate our routine tasks, especially a household one. However, the failure of software is a major threat to our lives, particularly the critical applications that employed daily. Due to the large number of inputs as well as time consumption for a test and cost, it is becoming hard to get exhaustive testing for any software in order to fault detection. For this reason, Combinatorial Testing Technique (CTT) is one of the famous techniques that have been used in fault detection of the software systems. Pairwise testing is one of the efficient CTT that used widely for fault detection based on the caused failures by two interactions parameters. There are many researchers that have been developed a pairwise testing strategy. Complementing to the earlier researches, this paper proposes a new pairwise test suite generation called Pairwise Hybrid Artificial Bee Colony (PhABC) strategy based on hybridize of an Artificial Bee Colony (ABC) algorithm with a Particle Swarm Optimization (PSO) algorithm. Empirical results shows that PhABC strategy outperforms other strategies in some cases and provides competitive results in other cases by generating the final test suite. © 2020, Springer Nature Singapore Pte Ltd.
date: 2020
publisher: Springer
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077495232&doi=10.1007%2f978-981-15-1289-6_13&partnerID=40&md5=a45a20b808712a90a4a86da263031317
id_number: 10.1007/978-981-15-1289-6₁₃
full_text_status: none
publication: Lecture Notes in Electrical Engineering
volume: 619
pagerange: 137-145
refereed: TRUE
isbn: 9789811512889
issn: 18761100
citation:   Alazzawi, A.K. and Rais, H.M. and Basri, S. and Alsariera, Y.A.  (2020) Pairwise Test Suite Generation Based on Hybrid Artificial Bee Colony Algorithm.  Lecture Notes in Electrical Engineering, 619.  pp. 137-145.  ISSN 18761100