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Nomadic people optimizer for IoT combinatorial testing problem

Nowadays, smart cities depends on the integration between the systems via internet connections which are known as the Internet of Everything (IoE). The integrated systems raise several concerns involving the potential presence of critical integration defects. Therefore, there is a need for an intera...

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Main Author: Alsewari, Abdul Rahman Ahmed
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
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/42424/1/Nomadic%20people%20optimizer%20for%20IoT%20combinatorial%20testing%20problem.pdf
http://umpir.ump.edu.my/id/eprint/42424/2/Nomadic%20people%20optimizer%20for%20IoT%20combinatorial%20testing%20problem_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42424/
https://doi.org/10.1109/ITSS-IoE53029.2021.9615325
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spelling my.ump.umpir.424242024-10-30T04:43:53Z http://umpir.ump.edu.my/id/eprint/42424/ Nomadic people optimizer for IoT combinatorial testing problem Alsewari, Abdul Rahman Ahmed QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Nowadays, smart cities depends on the integration between the systems via internet connections which are known as the Internet of Everything (IoE). The integrated systems raise several concerns involving the potential presence of critical integration defects. Therefore, there is a need for an interaction testing approach. In this paper, we present a Nomadic People Optimizer as a search engine for the test list generation for interaction testing. The proposed test list generation strategy is called Nomadic People Strategy (NPS). The results show the NPS is also capable of outperforming the existing strategies such as Genetic Algorithm (GA), Ant Colony Algorithm (ACA), Coco Search Algorithm (CS), Harmony Search Algorithm (HS), Jaya Algorithm (JA), Firefly Algorithm (FA) and Melody Algorithm (MA). Institute of Electrical and Electronics Engineers Inc. 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42424/1/Nomadic%20people%20optimizer%20for%20IoT%20combinatorial%20testing%20problem.pdf pdf en http://umpir.ump.edu.my/id/eprint/42424/2/Nomadic%20people%20optimizer%20for%20IoT%20combinatorial%20testing%20problem_ABS.pdf Alsewari, Abdul Rahman Ahmed (2021) Nomadic people optimizer for IoT combinatorial testing problem. In: International Conference on Intelligent Technology, System and Service for Internet of Everything, ITSS-IoE 2021. 2021 International Conference on Intelligent Technology, System and Service for Internet of Everything, ITSS-IoE 2021 , 1 - 2 November 2021 , Virtual, Online. pp. 1-5.. ISBN 978-166543305-1 (Published) https://doi.org/10.1109/ITSS-IoE53029.2021.9615325
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)
Alsewari, Abdul Rahman Ahmed
Nomadic people optimizer for IoT combinatorial testing problem
description Nowadays, smart cities depends on the integration between the systems via internet connections which are known as the Internet of Everything (IoE). The integrated systems raise several concerns involving the potential presence of critical integration defects. Therefore, there is a need for an interaction testing approach. In this paper, we present a Nomadic People Optimizer as a search engine for the test list generation for interaction testing. The proposed test list generation strategy is called Nomadic People Strategy (NPS). The results show the NPS is also capable of outperforming the existing strategies such as Genetic Algorithm (GA), Ant Colony Algorithm (ACA), Coco Search Algorithm (CS), Harmony Search Algorithm (HS), Jaya Algorithm (JA), Firefly Algorithm (FA) and Melody Algorithm (MA).
format Conference or Workshop Item
author Alsewari, Abdul Rahman Ahmed
author_facet Alsewari, Abdul Rahman Ahmed
author_sort Alsewari, Abdul Rahman Ahmed
title Nomadic people optimizer for IoT combinatorial testing problem
title_short Nomadic people optimizer for IoT combinatorial testing problem
title_full Nomadic people optimizer for IoT combinatorial testing problem
title_fullStr Nomadic people optimizer for IoT combinatorial testing problem
title_full_unstemmed Nomadic people optimizer for IoT combinatorial testing problem
title_sort nomadic people optimizer for iot combinatorial testing problem
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/42424/1/Nomadic%20people%20optimizer%20for%20IoT%20combinatorial%20testing%20problem.pdf
http://umpir.ump.edu.my/id/eprint/42424/2/Nomadic%20people%20optimizer%20for%20IoT%20combinatorial%20testing%20problem_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42424/
https://doi.org/10.1109/ITSS-IoE53029.2021.9615325
_version_ 1822924730901987328
score 13.235362

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