eprintid: 17414
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/74/14
datestamp: 2023-12-19 03:23:48
lastmod: 2023-12-19 03:23:48
status_changed: 2023-12-19 03:08:01
type: article
metadata_visibility: show
creators_name: Alazzawi, A.K.
creators_name: Rais, H.M.
creators_name: Basri, S.
creators_name: Alsariera, Y.A.
creators_name: Imam, A.A.
creators_name: Abed, S.A.
creators_name: Balogun, A.O.
creators_name: Kumar, G.
title: Recent t-way Test Generation Strategies Based on Optimization Algorithms: An Orchestrated Survey
ispublished: pub
keywords: Ability testing; Optimization; Surveys, Black holes; Combinatorial testing; Interaction strength; Market demand; Metaheuristic; Optimization algorithms; Software testings; T-way testing; Test case generation; Test generations, Software testing
note: cited By 0; Conference of 1st International Conference on Artificial Intelligence for Smart Community, AISC 2020 ; Conference Date: 17 December 2020 Through 18 December 2020; Conference Code:286319
abstract: In software testing, test case generation is the most challenging activities and expensive tasks. Where has a considerable impact on the ability to produce a desired or intended result (i.e., quality and efficacy) of software testing. As a result, several researchers have developed a number of t-way test case generation strategies (where t points the interaction strength between parameters) due to the market demand to the various types of tests based on different approaches. This paper presents an orchestrated survey of the latest test case generation strategies such as Binary Black Hole (BBH), Sine Cosine Variable Strength (SCAVS), Combinatorial Testing Based Jaya Algorithm (CTJ), deterministic genetic multi-parameter-order (GAMIPOG) and Hybrid Artificial Bee Colony (HABC). This survey illustrates the strengths and weaknesses of each strategy, and indicates potential research studies in the field for future work. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
date: 2022
publisher: Springer Science and Business Media Deutschland GmbH
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142689514&doi=10.1007%2f978-981-16-2183-3_100&partnerID=40&md5=02c6bb86b5ca5aa7836c0d0d6095447a
id_number: 10.1007/978-981-16-2183-3₁₀₀
full_text_status: none
publication: Lecture Notes in Electrical Engineering
volume: 758
pagerange: 1055-1060
refereed: TRUE
isbn: 9789811621826
issn: 18761100
citation:   Alazzawi, A.K. and Rais, H.M. and Basri, S. and Alsariera, Y.A. and Imam, A.A. and Abed, S.A. and Balogun, A.O. and Kumar, G.  (2022) Recent t-way Test Generation Strategies Based on Optimization Algorithms: An Orchestrated Survey.  Lecture Notes in Electrical Engineering, 758.  pp. 1055-1060.  ISSN 18761100