Model Reevaluation Based on Graph Transformation Rules
Maxime Gaide, David Marcheix, Agnès Arnould, Xavier Skapin, Hakim Belhaouari, Stéphane Jean · HAL (Le Centre pour la Communication Scientifique Directe) · 2023
In this paper, we extend the scope of naming problem studies to encompass rule-based graph transformation modeling systems. We propose a novel persistent naming method that capitalizes on the formalized operations of generalized maps and graph transformation rules. It enables a unique and homogeneous characterisation of entities across all dimensions.