A collaborative decision approach for alignment of heterogeneous models

Saloua Bennani (1) , Sophie Ebersold (1, 2) , Mahmoud El Hamlaoui (1, 3) , Bernard Coulette (1, 2) , Mahmoud Nassar (3)

1 IRIT-SM@RT - Smart Modeling for softw@re Research and Technology
2 UT2J - Université Toulouse - Jean Jaurès
3 ENSIAS - Ecole Nationale Supérieure d'Informatique et d'Analyses des Systèmes

Design of complex systems goes through a multiview paradigm in which separate teams, from different business viewpoints, build partial models describing the system. As they are expressed in different languages, these partial models are called heterogeneous models. To maintain the global system's consistency, we propose a collaborative approach that combines Group Decision Making (GDM) and Model-Based Engineering. This paper presents a metamodel for collaborative decision elaboration via a set of decision policies which are instances of GDM patterns. Our approach is illustrated with a hospital Emergency Department case study and is supported by a tool allowing models alignment through GDM based processes.

Mots clés: Model alignment; Model-based engineering; Heterogeneous models; Pattern; Group decision-making; Model matching; Collaboration

Domaines: Modélisation et simulation

Saloua Bennani, Sophie Ebersold, Mahmoud El Hamlaoui, Bernard Coulette, Mahmoud Nassar. A collaborative decision approach for alignment of heterogeneous models. 28th IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2019), Jun 2019, Capri, Italy. pp.112-117. ⟨hal-02456775⟩