z-logo
open-access-imgOpen Access
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom