A Tabu Search Hyper-Heuristic for t-way Test Suite Generation

This paper proposes a novel hybrid t-way test generation strategy (where t indicates interaction strength), called High Level Hyper-Heuristic (HHH). HHH adopts Tabu Search as its high level meta-heuristic and leverages on the strength of four low level meta-heuristics, comprising of Teaching Learnin...

Full description

Bibliographic Details
Main Authors: Kamal Z., Zamli, Alkazemi, Basem Y., Kendall, Graham
Format: Article
Language:English
Published: Elsevier 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/16832/1/fskkp-2016-kamal-Tabu%20Search%20hyper-heuristic1.pdf
_version_ 1796991981065338880
author Kamal Z., Zamli
Alkazemi, Basem Y.
Kendall, Graham
author_facet Kamal Z., Zamli
Alkazemi, Basem Y.
Kendall, Graham
author_sort Kamal Z., Zamli
collection UMP
description This paper proposes a novel hybrid t-way test generation strategy (where t indicates interaction strength), called High Level Hyper-Heuristic (HHH). HHH adopts Tabu Search as its high level meta-heuristic and leverages on the strength of four low level meta-heuristics, comprising of Teaching Learning Based Optimization, Global Neighborhood Algorithm, Particle Swarm Optimization, and Cuckoo Search Algorithm. HHH is able to capitalize on the strengths and limit the deficiencies of each individual algorithm in a collective and synergistic manner. Unlike existing hyper-heuristics, HHH relies on three defined operators, based on improvement, intensification and diversification, to adaptively select the most suitable meta-heuristic at any particular time. Our results are promising as HHH manages to outperform existing t-way strategies on many of the benchmarks.
first_indexed 2024-03-06T12:13:20Z
format Article
id UMPir16832
institution Universiti Malaysia Pahang
language English
last_indexed 2024-03-06T12:13:20Z
publishDate 2016
publisher Elsevier
record_format dspace
spelling UMPir168322018-09-14T08:38:35Z http://umpir.ump.edu.my/id/eprint/16832/ A Tabu Search Hyper-Heuristic for t-way Test Suite Generation Kamal Z., Zamli Alkazemi, Basem Y. Kendall, Graham QA75 Electronic computers. Computer science QA76 Computer software This paper proposes a novel hybrid t-way test generation strategy (where t indicates interaction strength), called High Level Hyper-Heuristic (HHH). HHH adopts Tabu Search as its high level meta-heuristic and leverages on the strength of four low level meta-heuristics, comprising of Teaching Learning Based Optimization, Global Neighborhood Algorithm, Particle Swarm Optimization, and Cuckoo Search Algorithm. HHH is able to capitalize on the strengths and limit the deficiencies of each individual algorithm in a collective and synergistic manner. Unlike existing hyper-heuristics, HHH relies on three defined operators, based on improvement, intensification and diversification, to adaptively select the most suitable meta-heuristic at any particular time. Our results are promising as HHH manages to outperform existing t-way strategies on many of the benchmarks. Elsevier 2016-07-01 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/16832/1/fskkp-2016-kamal-Tabu%20Search%20hyper-heuristic1.pdf Kamal Z., Zamli and Alkazemi, Basem Y. and Kendall, Graham (2016) A Tabu Search Hyper-Heuristic for t-way Test Suite Generation. Applied Soft Computing, 44. pp. 57-74. ISSN 1568-4946. (Published) http://dx.doi.org/10.1016/j.asoc.2016.03.021 doi: 10.1016/j.asoc.2016.03.021
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Kamal Z., Zamli
Alkazemi, Basem Y.
Kendall, Graham
A Tabu Search Hyper-Heuristic for t-way Test Suite Generation
title A Tabu Search Hyper-Heuristic for t-way Test Suite Generation
title_full A Tabu Search Hyper-Heuristic for t-way Test Suite Generation
title_fullStr A Tabu Search Hyper-Heuristic for t-way Test Suite Generation
title_full_unstemmed A Tabu Search Hyper-Heuristic for t-way Test Suite Generation
title_short A Tabu Search Hyper-Heuristic for t-way Test Suite Generation
title_sort tabu search hyper heuristic for t way test suite generation
topic QA75 Electronic computers. Computer science
QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/16832/1/fskkp-2016-kamal-Tabu%20Search%20hyper-heuristic1.pdf
work_keys_str_mv AT kamalzzamli atabusearchhyperheuristicfortwaytestsuitegeneration
AT alkazemibasemy atabusearchhyperheuristicfortwaytestsuitegeneration
AT kendallgraham atabusearchhyperheuristicfortwaytestsuitegeneration
AT kamalzzamli tabusearchhyperheuristicfortwaytestsuitegeneration
AT alkazemibasemy tabusearchhyperheuristicfortwaytestsuitegeneration
AT kendallgraham tabusearchhyperheuristicfortwaytestsuitegeneration