Support for Bidirectional Model-to-Text Transformations
Author(s) -
Anjorin, Anthony,
Lauder, Marius,
Schlereth, Michael,
Schürr, Andy
Publication year - 2024
Publication title -
technische universität berlin – universitätsbibliothek
Language(s) - English
DOI - 10.14279/tuj.eceasst.36.443
Subject(s) - computer science , model transformation , graph rewriting , transformation (genetics) , graph , theoretical computer science , context (archaeology) , component (thermodynamics) , process (computing) , graph theory
In recent years, model-driven approaches and processes have established themselves as pragmatic and feasible solutions with tangible advantages. Transformations play a central role in any model-driven solution and, as interest in textual modelling grows, providing concepts and tools for supporting a high-level and declarative specication of bidirectional model-to-text transformations becomes a vital area of research. Our paper identies important areas and scenarios for model-to-text transformations that are not or only partially supported by currently existing solutions. Based on the requirements of a real-world case study, we introduce a new concept that has been inspired by a successful bidirectional model-to-model transformation approach: Triple Graph Grammars.
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