HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation
Search-based software engineering that involves the deployment of meta-heuristics in applicable software processes has been gaining wide attention. Recently, researchers have been advocating the adoption of meta-heuristic algorithms for t -way testing strategies (where t points the interaction stren...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Published: |
Agora University
2021
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116805344&doi=10.15837%2fijccc.2021.5.4308&partnerID=40&md5=971ddd230b65fb4046df81dad5c89a64 http://eprints.utp.edu.my/30410/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utp.eprints.30410 |
---|---|
record_format |
eprints |
spelling |
my.utp.eprints.304102022-03-25T06:51:21Z HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation Alazzawi, A.K. Rais, H.M. Basri, S. Alsariera, Y.A. Capretz, L.F. Imam, A.A. Balogun, A.O. Search-based software engineering that involves the deployment of meta-heuristics in applicable software processes has been gaining wide attention. Recently, researchers have been advocating the adoption of meta-heuristic algorithms for t -way testing strategies (where t points the interaction strength among parameters). Although helpful, no single meta-heuristic based t -way strategy can claim dominance over its counterparts. For this reason, the hybridization of meta-heuristic algorithms can help to ascertain the search capabilities of each by compensating for the limitations of one algorithm with the strength of others. Consequently, a new meta-heuristic based t -way strategy called Hybrid Artificial Bee Colony (HABCSm) strategy, based on merging the advantages of the Artificial Bee Colony (ABC) algorithm with the advantages of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. HABCSm is the first t -way strategy to adopt Hybrid Artificial Bee Colony (HABC) algorithm with Hamming distance as its core method for generating a final test set and the first to adopt the Hamming distance as the final selection criterion for enhancing the exploration of new solutions. The experimental results demonstrate that HABCSm provides superior competitive performance over its counterparts. Therefore, this finding contributes to the field of software testing by minimizing the number of test cases required for test execution. © 2021. the authors. Licensee Agora University, Oradea, Romania. All Rights Reserved. Agora University 2021 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116805344&doi=10.15837%2fijccc.2021.5.4308&partnerID=40&md5=971ddd230b65fb4046df81dad5c89a64 Alazzawi, A.K. and Rais, H.M. and Basri, S. and Alsariera, Y.A. and Capretz, L.F. and Imam, A.A. and Balogun, A.O. (2021) HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation. International Journal of Computers, Communications and Control, 16 (5). pp. 1-18. http://eprints.utp.edu.my/30410/ |
institution |
Universiti Teknologi Petronas |
building |
UTP Resource Centre |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Petronas |
content_source |
UTP Institutional Repository |
url_provider |
http://eprints.utp.edu.my/ |
description |
Search-based software engineering that involves the deployment of meta-heuristics in applicable software processes has been gaining wide attention. Recently, researchers have been advocating the adoption of meta-heuristic algorithms for t -way testing strategies (where t points the interaction strength among parameters). Although helpful, no single meta-heuristic based t -way strategy can claim dominance over its counterparts. For this reason, the hybridization of meta-heuristic algorithms can help to ascertain the search capabilities of each by compensating for the limitations of one algorithm with the strength of others. Consequently, a new meta-heuristic based t -way strategy called Hybrid Artificial Bee Colony (HABCSm) strategy, based on merging the advantages of the Artificial Bee Colony (ABC) algorithm with the advantages of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. HABCSm is the first t -way strategy to adopt Hybrid Artificial Bee Colony (HABC) algorithm with Hamming distance as its core method for generating a final test set and the first to adopt the Hamming distance as the final selection criterion for enhancing the exploration of new solutions. The experimental results demonstrate that HABCSm provides superior competitive performance over its counterparts. Therefore, this finding contributes to the field of software testing by minimizing the number of test cases required for test execution. © 2021. the authors. Licensee Agora University, Oradea, Romania. All Rights Reserved. |
format |
Article |
author |
Alazzawi, A.K. Rais, H.M. Basri, S. Alsariera, Y.A. Capretz, L.F. Imam, A.A. Balogun, A.O. |
spellingShingle |
Alazzawi, A.K. Rais, H.M. Basri, S. Alsariera, Y.A. Capretz, L.F. Imam, A.A. Balogun, A.O. HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation |
author_facet |
Alazzawi, A.K. Rais, H.M. Basri, S. Alsariera, Y.A. Capretz, L.F. Imam, A.A. Balogun, A.O. |
author_sort |
Alazzawi, A.K. |
title |
HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation |
title_short |
HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation |
title_full |
HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation |
title_fullStr |
HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation |
title_full_unstemmed |
HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation |
title_sort |
habcsm: a hamming based t -way strategy based on hybrid artificial bee colony for variable strength test sets generation |
publisher |
Agora University |
publishDate |
2021 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116805344&doi=10.15837%2fijccc.2021.5.4308&partnerID=40&md5=971ddd230b65fb4046df81dad5c89a64 http://eprints.utp.edu.my/30410/ |
_version_ |
1738657103550087168 |
score |
13.160551 |