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How AI can Advance Model Driven Engineering Method ?

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Intelligent Systems and Pattern Recognition (ISPR 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1941))

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Abstract

Artificial intelligence (AI) skills are being increasingly applied in today’s field of computer science. This aims at better satisfying customer requirements, reducing errors, improving decision-making, tackling complex problems, system automation, increasing operational efficiencies, etc. To do so, AI implies several sub-fields such as Machine Learning (ML), Deep Learning (DL), Neural Networks (NN), Natural Language Processing (NLP), Robotics, etc. Applications of AI are innumerable, including healthcare and biomedicine, bio-informatics, physics, robotics, geo-sciences and more. Our current paper studies AI applications for modeling IoT systems using Model Driven Engineering (MDE) method. We survey the most significant research work related to our topic and investigate how AI techniques could be used to better resolve software engineering issues. In the context of the current paper, we particularly focus on healthcare systems as an illustrative specific domain.

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Acknowledgement

This work has been partially supported by the project IBCO-CIMI funded by Toulouse-INP (France).

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Authors and Affiliations

  1. Toulouse INP, Toulouse, France

    Mohamad Suhairi Md Subhi, Willem Nicolas, Akina Renard & Gabriela Maria Garcia Romero

  2. IRIT-Toulouse INP, Toulouse, France

    Akina Renard, Meriem Ouederni & Lotfi Chaari

Authors
  1. Mohamad Suhairi Md Subhi
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  2. Willem Nicolas
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  3. Akina Renard
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  4. Gabriela Maria Garcia Romero
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  5. Meriem Ouederni
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  6. Lotfi Chaari
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Corresponding author

Correspondence to Meriem Ouederni .

Editor information

Editors and Affiliations

  1. Larbi Tebessi University, Tebessa, Algeria

    Akram Bennour

  2. Sharjah University, Sharjah, United Arab Emirates

    Ahmed Bouridane

  3. University of Toulouse, Toulouse, France

    Lotfi Chaari

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Subhi, M.S.M., Nicolas, W., Renard, A., Romero, G.M.G., Ouederni, M., Chaari, L. (2024). How AI can Advance Model Driven Engineering Method ?. In: Bennour, A., Bouridane, A., Chaari, L. (eds) Intelligent Systems and Pattern Recognition. ISPR 2023. Communications in Computer and Information Science, vol 1941. Springer, Cham. https://doi.org/10.1007/978-3-031-46338-9_9

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  • DOI: https://doi.org/10.1007/978-3-031-46338-9_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-46337-2

  • Online ISBN: 978-3-031-46338-9

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