Multiobjective evolutionary algorithms NSGA-II and NSGA-III for software product lines testing optimization

Jamil, Muhammad Abid and Alhindi, Ahmad and Arif, Muhammad and Nour, Mohamed K and Awang Abu Bakar, Normi Sham and Aljabri, Tareq Fahad (2020) Multiobjective evolutionary algorithms NSGA-II and NSGA-III for software product lines testing optimization. In: 2019 IEEE 6th International Conference on Engineering Technologies and Applied Sciences (ICETAS), 20-21 Dec. 2019, Kuala Lumpur, Malaysia.

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Abstract

Software Product line (SPL) engineering methodology utilizes reusable components to generate a new system for a specific domain. In fact, the product line establishes requirements, reusable components, architecture, and shared products to develop new products’ functionalities. In order to maintain high quality, there is a need for a thorough testing process. Each product in SPL having a different number of features need to be tested. Hence, the testing process of SPL can utilize a multi-objective optimization algorithm to optimize the testing process. This research, reports on the performance of a multi-objective Evolutionary Algorithms Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and NSGA-III on Feature Models (FMs) to optimize SPL testing.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	3509/86601
Uncontrolled Keywords:	Search-Based Software Engineering, Software Testing, Software Product Line, Feature Models Multi-objective Evolutionary Algorithms, Non-Dominated Sorting Genetic, Algorithm II and III (NSGA-II and NSGA-III)
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Architecture and Environmental Design Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr. Normi Sham Awang Abu Bakar
Date Deposited:	18 Dec 2020 11:31
Last Modified:	18 Dec 2020 11:31
URI:	http://irep.iium.edu.my/id/eprint/86601

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