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A systematic mapping of quality models for AI systems, software and components


Citation

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

Abstract

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.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Institute for Mathematical Research
DOI Number: https://doi.org/10.3390/app12178700
Publisher: MDPI
Keywords: Quality model; Artificial intelligence software and systems; Data driven software components; Software components
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 14 Dec 2023 04:10
Last Modified: 14 Dec 2023 04:10
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/app12178700
URI: http://psasir.upm.edu.my/id/eprint/100454
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