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Hyper-heuristic strategy for input-output-based interaction testing

Software testing aims at exploring faults within software in order to ensure it meets all necessary specifications. Test case design strategies play key role in software testing. Classical test case design strategies, however, do not sufficiently include support for exploration of faults due to inte...

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Main Authors: Din, Fakhrud, Kamal Zuhairi, Zamli
Format: Conference or Workshop Item
Language:English
English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/39744/1/Hyper-Heuristic%20Strategy%20for%20Input-Output-Based%20Interaction%20Testing.pdf
http://umpir.ump.edu.my/id/eprint/39744/2/Hyper-heuristic%20strategy%20for%20input-output-based%20interaction%20testing_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39744/
https://doi.org/10.1007/978-981-33-4597-3_88
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spelling my.ump.umpir.397442023-12-22T09:49:06Z http://umpir.ump.edu.my/id/eprint/39744/ Hyper-heuristic strategy for input-output-based interaction testing Din, Fakhrud Kamal Zuhairi, Zamli QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Software testing aims at exploring faults within software in order to ensure it meets all necessary specifications. Test case design strategies play key role in software testing. Classical test case design strategies, however, do not sufficiently include support for exploration of faults due to interaction between parameter values. New strategies known as t-way strategies (where t expresses interaction strength) have been developed for finding interaction faults. However, existing t-way strategies for input-output-based relationship (IOR) interaction testing mostly adopt greedy algorithms which often generate poor quality test data. Therefore, this paper presents the design of a new IOR test suite generation strategy called IOR_HH based on the exponential Monte Carlo with counter (EMCQ) hyper-heuristic. EMCQ is a parameter free hyper-heuristic which works as controller of the three implemented low-level meta-heuristic operators, namely crossover, peer learning and global pollination in the proposed IOR_HH strategy. Experimental results demonstrate the impact of the proposed strategy against existing computational strategies for IOR interaction testing. Springer Science and Business Media Deutschland GmbH 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39744/1/Hyper-Heuristic%20Strategy%20for%20Input-Output-Based%20Interaction%20Testing.pdf pdf en http://umpir.ump.edu.my/id/eprint/39744/2/Hyper-heuristic%20strategy%20for%20input-output-based%20interaction%20testing_ABS.pdf Din, Fakhrud and Kamal Zuhairi, Zamli (2022) Hyper-heuristic strategy for input-output-based interaction testing. In: Lecture Notes in Electrical Engineering; Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2020 , 6 August 2020 , Gambang, Kuantan. pp. 967-977., 730 (262829). ISSN 1876-1100 ISBN 978-981334596-6 https://doi.org/10.1007/978-981-33-4597-3_88
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Din, Fakhrud
Kamal Zuhairi, Zamli
Hyper-heuristic strategy for input-output-based interaction testing
description Software testing aims at exploring faults within software in order to ensure it meets all necessary specifications. Test case design strategies play key role in software testing. Classical test case design strategies, however, do not sufficiently include support for exploration of faults due to interaction between parameter values. New strategies known as t-way strategies (where t expresses interaction strength) have been developed for finding interaction faults. However, existing t-way strategies for input-output-based relationship (IOR) interaction testing mostly adopt greedy algorithms which often generate poor quality test data. Therefore, this paper presents the design of a new IOR test suite generation strategy called IOR_HH based on the exponential Monte Carlo with counter (EMCQ) hyper-heuristic. EMCQ is a parameter free hyper-heuristic which works as controller of the three implemented low-level meta-heuristic operators, namely crossover, peer learning and global pollination in the proposed IOR_HH strategy. Experimental results demonstrate the impact of the proposed strategy against existing computational strategies for IOR interaction testing.
format Conference or Workshop Item
author Din, Fakhrud
Kamal Zuhairi, Zamli
author_facet Din, Fakhrud
Kamal Zuhairi, Zamli
author_sort Din, Fakhrud
title Hyper-heuristic strategy for input-output-based interaction testing
title_short Hyper-heuristic strategy for input-output-based interaction testing
title_full Hyper-heuristic strategy for input-output-based interaction testing
title_fullStr Hyper-heuristic strategy for input-output-based interaction testing
title_full_unstemmed Hyper-heuristic strategy for input-output-based interaction testing
title_sort hyper-heuristic strategy for input-output-based interaction testing
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/39744/1/Hyper-Heuristic%20Strategy%20for%20Input-Output-Based%20Interaction%20Testing.pdf
http://umpir.ump.edu.my/id/eprint/39744/2/Hyper-heuristic%20strategy%20for%20input-output-based%20interaction%20testing_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39744/
https://doi.org/10.1007/978-981-33-4597-3_88
_version_ 1822924006587629568
score 13.232414

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