Interaction Multi-Agent Models' Automatic Alignment with MDA Higher Abstraction Level

Authors

  • Nassim Kharmoum National Center for Scientific and Technical Research, Morocco https://orcid.org/0000-0001-9105-1062
  • Sara Retal SmartiLab, Moroccan School of Engineering Sciences (EMSI), Rabat, Morocco.
  • Karim El Bouchti IPSS Team, Faculty of Sciences, Mohammed V University in Rabat, Morocco
  • Wajih Rhalem E2SN Research team, ENSAM, Mohammed V University in Rabat, Morocco
  • Soumia Ziti IPSS Team, Faculty of Sciences, Mohammed V University in Rabat, Morocco https://orcid.org/0000-0002-5357-9170

DOI:

https://doi.org/10.3991/ijoe.v19i02.37047

Keywords:

Model-Driven Architecture, Automatic Alignment, multi-agent Modeling, AML Communicative Interaction Diagram, E3value

Abstract


With the massive growth of the software sector as well as the erratic needs of end users, agent-based information systems and Model Driven Architecture (MDA) approach are among the liveliest and significant fields of experimentation and improvement to emerge in the recent decade. In this vein, we suggest in this research an innovative method that automates the construction and the generation processes of the interaction multi-agent models from the business requirements engineering models at the MDA highest abstraction levels. So, our defiance is to align the Agent Modeling Language (AML) Communicative Interaction diagram with the E3value model dealing with the MDA approach. The ATLAS-Transformation Language (ATL) is applied to automate the model alignment process. The goal is to reduce project effort, time, and development costs as all alignment process is automatically done, boosting the chances of being more competitive in the software business.

Author Biographies

Nassim Kharmoum, National Center for Scientific and Technical Research, Morocco

Ph.D. and Assistant Professor. He received his diploma of doctor degree in Computer Science from the Mohammed V University in Rabat. Currently, he is an Assistant Professor in Software Engineering at the National Center for Scientific and Technical Research in Morocco. He proposed different validated methods in scientific articles published in international journals, books, and conferences. His research interest focuses on artificial intelligence, data science, analysis and conceptual modeling, software requirements, multi-agent systems modeling, and modernization of legacy systems.

Sara Retal, SmartiLab, Moroccan School of Engineering Sciences (EMSI), Rabat, Morocco.

Received her Ph.D. in Computer Science at the faculty of sciences of Rabat and is a full time Professor at the Moroccan School of Engineering Sciences in Rabat. She participated in the ICT Maghreb Technology Platform project co-funded by the European Community and in other research projects in Aalto University. Her research interests include artificial intelligence, data science, and software engineering.

Karim El Bouchti, IPSS Team, Faculty of Sciences, Mohammed V University in Rabat, Morocco

Is currently a researcher at department of computer science/Faculty of Sciences at Mohammed V University. His researches are in fields of computer security, trading financial market, analysis and conceptual modeling, and SQL /NoSQL database security using encryption. Recently, He works on intelligent systems. He has served as invited reviewer for many indexed journals and conferences. Besides, he is the president and the founder of “Trading Research Club”. He can be contacted at email: elbouchtikarim@gmail.com.

Wajih Rhalem, E2SN Research team, ENSAM, Mohammed V University in Rabat, Morocco

Ph.D. and university professor. He obtained his doctoral degree in Electrical Engineering from Mohammed V University in Rabat. Currently, he is president of the Moroccan Society of Digital Health and professor of electrical engineering at the National School of Arts and Crafts under the University Mohammed V of Rabat. He has proposed different methods validated in scientific articles published in international journals, books and conferences. His research interests focus on artificial intelligence, digital health and bioinformatics. Since 2019, he has held the position of Head of the Scientific Research, Cooperation and Supervision Service at ENSAM-Rabat.

Soumia Ziti, IPSS Team, Faculty of Sciences, Mohammed V University in Rabat, Morocco

A Franco-Moroccan teacher-researcher lady at the Faculty of Sciences of Mohammed V University in Rabat since 2007. She holds a PhD in computer science in the field of graph theory, and a diploma in advanced studies in fundamental computer science, both obtained at the University of Orleans in France. His areas of expertise and research are graph theory, information systems, artificial intelligence, data science, software development engineering, modeling of relational databases and big data, cryptography and numerical methods and simulations in spintronics. She has over than sixty publications in high-level international journals and conferences in several research areas. In addition, she coordinates or participates in several educational or socio-economic projects.

Cover iJOE Vol. 19 No. 02 (2023)

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Published

2023-02-16

How to Cite

Kharmoum, N., Retal, S., El Bouchti, K., Rhalem, W., & Ziti, S. (2023). Interaction Multi-Agent Models’ Automatic Alignment with MDA Higher Abstraction Level. International Journal of Online and Biomedical Engineering (iJOE), 19(02), pp. 92–110. https://doi.org/10.3991/ijoe.v19i02.37047

Issue

Vol. 19 No. 02 (2023)

Section

Papers

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Copyright (c) 2023 Nassim Kharmoum, Sara Retal, Karim El Bouchti, Wajih Rhalem, Soumia Ziti

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This work is licensed under a Creative Commons Attribution 4.0 International License.