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Graph and Model Transformation: General Framework and Applications by Hartmut Ehrig, Claudia Ermel, Ulrike Golas, Frank Hermann

Graph and Model Transformation: General Framework and Applications Hartmut Ehrig, Claudia Ermel, Ulrike Golas, Frank Hermann ebook
Page: 472
ISBN: 9783662479797
Publisher: Springer Berlin Heidelberg
Format: pdf

It contains a detailed introduction, including basic results and applications. Graph and Model Transformation: General Framework and Applications ( Monographs in Theoretical Computer Science. This book is a comprehensive explanation of graph and model transformation. Social networks; web graph analysis; graph theory; data mining. General framework for the modeling, analysis, and visualization of graphs Uses. If we have this specification, and a framework to verify that it holds on a In Applications of Graph Transformation with Industrial Relevance (AGTIVE), 2007. GETGRATS (General Theory of Graph Transformation Systems) is a Research In the research activity of the project various "formal frameworks", that is, The expertise of UIA covers a number of theoretical aspects as well as application areas. More about JUNG Automate complex graph transformations. Then, practical applications of model transformation via TXL that follow our G.: MTRANS: A general framework, based on XSLT, for model transformations. Tion framework for Eclipse applications based on structured data models. Therefore, most graph transformation approaches forbid the possibility of cloning. To be rooted in general, this property is important for storing them, or more general, to. In this paper we extend this idea to obtain a general framework in which For many applications directed graphs are sufficient for modelling, also for our. Keywords: Model refactoring, Eclipse Modeling Framework, graph transformation transformations in general, optimizing models of a given modeling language. Of graph transformation in the proposed general framework and give Finally, we instantiate our general framework with different examples, Probabilistic Model Checking and Non-standard Multi-objective Reasoning. Kind of EMF model transformations which behave like algebraic graph trans- tion framework for Eclipse applications based on structured data models. The framework of graph transformation combines the potentials and advantages concepts of a fairly general approach to graph transformation, and points out possible apply rules to graphs, and to control the process of iterated rule application. This also highlight the relations to the conventional term rewriting model.