Nomadic people optimizer for IoT combinatorial testing problem

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)

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Abstract

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).

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Integration testing; Interaction testing; Internet of everything; Optimization algorithms; Search-based testing; Software testing
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division:	Faculty of Computing
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	30 Oct 2024 04:43
Last Modified:	30 Oct 2024 04:43
URI:	http://umpir.ump.edu.my/id/eprint/42424
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