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Authors: Rubén Márquez Villalta 1 ; 2 ; Javier Verdugo Lara 1 ; 2 ; Moisés Rodríguez Monje 1 ; 2 and Mario Piattini Velthuis 1 ; 2

Affiliations: 1 AQCLab Software Quality, C/ de Moledores s/n, 13071 Ciudad Real, Spain ; 2 Instituto de Tecnologías y Sistemas de Información (UCLM), Paseo Universidad, 4, 13071 Ciudad Real, Spain

Keyword(s): Maturity Model, Artificial Intelligence, Software Processes, ISO/IEC 33000, ISO/IEC 5338.

Abstract: The emergence of artificial intelligence (AI) has caused a technological revolution in society in recent years, and a growing number of companies are implementing or creating systems that use this technology across a range of industries. In order to guarantee quality procedures on these systems, there is an immediate demand for quality standards as a result of this rise. Based on a variety of international standards, including the ISO/IEC 5338 standard as a reference model for AI processes and the ISO/IEC 33000 family of standards to establish a software process assessment and maturity model, this paper shows an Artificial Intelligence Software Maturity Model (called MMSIA). The main objective of the MMSIA model is to give businesses creating AI systems a framework for evaluating and continuously improving the software processes used in the creation of these kinds of systems, which will raise the level of AI applications.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Villalta, R. M., Lara, J. V., Monje, M. R., Velthuis and M. P. (2025). MMSIA: Towards AI Systems Maturity Assessment. In Proceedings of the 20th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-757-3; ISSN 2184-2833, SciTePress, pages 273-280. DOI: 10.5220/0013523100003964

@conference{icsoft25,
author={Rubén Márquez Villalta and Javier Verdugo Lara and Moisés Rodríguez Monje and Mario Piattini Velthuis},
title={MMSIA: Towards AI Systems Maturity Assessment},
booktitle={Proceedings of the 20th International Conference on Software Technologies - ICSOFT},
year={2025},
pages={273-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013523100003964},
isbn={978-989-758-757-3},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Software Technologies - ICSOFT
TI - MMSIA: Towards AI Systems Maturity Assessment
SN - 978-989-758-757-3
IS - 2184-2833
AU - Villalta, R.
AU - Lara, J.
AU - Monje, M.
AU - Velthuis, M.
PY - 2025
SP - 273
EP - 280
DO - 10.5220/0013523100003964
PB - SciTePress