Rule-Based Selection of Languages for Modeling Cyber-Physical Systems

Veronica Opranescu, Anca Daniela Ionita

2025

Abstract

In the context of Cyber-Physical Systems (CPS), the choice of suitable modeling languages plays an important role in effectively addressing the varied interests of the system stakeholders. This paper proposes a rule-based recommendation system to suggest appropriate modeling languages that optimally cover all identified viewpoints required for a set of stakeholders. The recommendation engine employs Drools as business rule management system, to highlight the connection between stakeholders’ viewpoints and the kind of models supported by available modeling languages. For assessing this method, a case study was performed with a realistic example from the domain of industrial automation and a selection from three modeling languages.

Paper Citation

in Harvard Style

Opranescu V. and Ionita A. (2025). Rule-Based Selection of Languages for Modeling Cyber-Physical Systems. In Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-769-6, SciTePress, pages 120-127. DOI: 10.5220/0013710200004000

in Bibtex Style

@conference{keod25,
author={Veronica Opranescu and Anca Ionita},
title={Rule-Based Selection of Languages for Modeling Cyber-Physical Systems},
booktitle={Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2025},
pages={120-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013710200004000},
isbn={978-989-758-769-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - Rule-Based Selection of Languages for Modeling Cyber-Physical Systems
SN - 978-989-758-769-6
AU - Opranescu V.
AU - Ionita A.
PY - 2025
SP - 120
EP - 127
DO - 10.5220/0013710200004000
PB - SciTePress