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  • 标题:Support for Bidirectional Model-to-Text Transformations
  • 本地全文:下载
  • 作者:Anthony Anjorin ; Marius Paul Lauder ; Michael Schlereth
  • 期刊名称:Electronic Communications of the EASST
  • 电子版ISSN:1863-2122
  • 出版年度:2011
  • 卷号:36
  • 语种:English
  • 出版社:European Association of Software Science and Technology (EASST)
  • 摘要: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 specification of bidirectional model-to-text transformations becomes a vital area of research. Our paper identifies 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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