A systematic mapping of quality models for AI systems, software and components
Recently, there has been a significant increase in the number of Artificial Intelligence (AI) systems, software, and components. As a result, it is crucial to evaluate their quality. Quality models for AI have in fact been proposed, but there is a lack of Systematic Mapping Studies (SMS) for quality...
| Main Authors: | , , , , , |
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| Format: | Article |
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MDPI
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/100454/ |
| _version_ | 1848863328074465280 |
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| author | Ali, Mohamed Abdullahi Ng, Keng Yap Abd Ghani, Abdul Azim Zulzalil, Hazura Admodisastro, Novia Indriaty Najafabadi, Amin Arab |
| author_facet | Ali, Mohamed Abdullahi Ng, Keng Yap Abd Ghani, Abdul Azim Zulzalil, Hazura Admodisastro, Novia Indriaty Najafabadi, Amin Arab |
| author_sort | Ali, Mohamed Abdullahi |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Recently, there has been a significant increase in the number of Artificial Intelligence (AI) systems, software, and components. As a result, it is crucial to evaluate their quality. Quality models for AI have in fact been proposed, but there is a lack of Systematic Mapping Studies (SMS) for quality models in AI systems, software, and components. The goal of this paper is to understand, classify, and critically evaluate existing quality models for AI systems, software, and components. This study conducts an SMS to investigate quality models proposed by various authors in the past. The study only found quality models for AI systems and software. So far, the SMS has revealed no work on AI software component quality models. Finally, the limitations of the quality models and the implications for future research and development efforts are discussed. |
| first_indexed | 2025-11-15T13:31:10Z |
| format | Article |
| id | upm-100454 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:31:10Z |
| publishDate | 2022 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1004542023-12-14T04:10:50Z http://psasir.upm.edu.my/id/eprint/100454/ A systematic mapping of quality models for AI systems, software and components Ali, Mohamed Abdullahi Ng, Keng Yap Abd Ghani, Abdul Azim Zulzalil, Hazura Admodisastro, Novia Indriaty Najafabadi, Amin Arab Recently, there has been a significant increase in the number of Artificial Intelligence (AI) systems, software, and components. As a result, it is crucial to evaluate their quality. Quality models for AI have in fact been proposed, but there is a lack of Systematic Mapping Studies (SMS) for quality models in AI systems, software, and components. The goal of this paper is to understand, classify, and critically evaluate existing quality models for AI systems, software, and components. This study conducts an SMS to investigate quality models proposed by various authors in the past. The study only found quality models for AI systems and software. So far, the SMS has revealed no work on AI software component quality models. Finally, the limitations of the quality models and the implications for future research and development efforts are discussed. MDPI 2022-08-30 Article PeerReviewed Ali, Mohamed Abdullahi and Ng, Keng Yap and Abd Ghani, Abdul Azim and Zulzalil, Hazura and Admodisastro, Novia Indriaty and Najafabadi, Amin Arab (2022) A systematic mapping of quality models for AI systems, software and components. Applied Sciences, 12 (17). art. no. 8700. pp. 1-19. ISSN 2076-3417 https://www.mdpi.com/2076-3417/12/17/8700 10.3390/app12178700 |
| spellingShingle | Ali, Mohamed Abdullahi Ng, Keng Yap Abd Ghani, Abdul Azim Zulzalil, Hazura Admodisastro, Novia Indriaty Najafabadi, Amin Arab A systematic mapping of quality models for AI systems, software and components |
| title | A systematic mapping of quality models for AI systems, software and components |
| title_full | A systematic mapping of quality models for AI systems, software and components |
| title_fullStr | A systematic mapping of quality models for AI systems, software and components |
| title_full_unstemmed | A systematic mapping of quality models for AI systems, software and components |
| title_short | A systematic mapping of quality models for AI systems, software and components |
| title_sort | systematic mapping of quality models for ai systems, software and components |
| url | http://psasir.upm.edu.my/id/eprint/100454/ http://psasir.upm.edu.my/id/eprint/100454/ http://psasir.upm.edu.my/id/eprint/100454/ |