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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| Format: | Conference or Workshop Item |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2021
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| 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 |
| _version_ | 1825815876705714176 |
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| author | Alsewari, Abdul Rahman Ahmed |
| author_facet | Alsewari, Abdul Rahman Ahmed |
| author_sort | Alsewari, Abdul Rahman Ahmed |
| collection | UMP |
| 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). |
| first_indexed | 2024-12-09T02:30:10Z |
| format | Conference or Workshop Item |
| id | UMPir42424 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-12-09T02:30:10Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | UMPir424242024-10-30T04:43:53Z 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 |
| 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 |
| title | 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_short | Nomadic people optimizer for IoT combinatorial testing problem |
| title_sort | nomadic people optimizer for iot combinatorial testing problem |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| 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 |
| work_keys_str_mv | AT alsewariabdulrahmanahmed nomadicpeopleoptimizerforiotcombinatorialtestingproblem |