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Conference Papers Year : 2024

Reevaluation in Rule-Based Graph Transformation Modeling Systems

Abstract

In this paper, we widen the naming problem studies to the rule-based graph 3D transformation modeling systems. We propose a persistent naming method taking advantage of the generalized maps’ and graph transformation rules’ formalization of simple operations. It enables a unique and homogeneous characterisation of entities in all dimensions. Most existing methods require tracking numerous topological entities and consider the persistent naming problem only from the parameters’ modifications of a parametric specification standpoint. With our solution, not only the naming problem is tackled within the usual framework of parameters edition, but we also take the specification edition into account (addition, deletion and displacement of operations). Moreover, our solution makes use of directed acyclic graphs to represent the histories of topological entities and to track only the entities used in the parametric specification and the ones they originate from.
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Dates and versions

hal-04607231 , version 1 (10-06-2024)

Identifiers

  • HAL Id : hal-04607231 , version 1

Cite

Maxime Gaide, David Marcheix, Agnès Arnould, Xavier Skapin, Hakim Belhaouari, et al.. Reevaluation in Rule-Based Graph Transformation Modeling Systems. WSCG 2024 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2024, Václav Skala, Jun 2024, Pilsen, Czech Republic. ⟨hal-04607231⟩
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