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

Graph and Model Transformation: General Framework and Applications


Graph.and.Model.Transformation.General.Framework.and.Applications.pdf
ISBN: 9783662479797 | 472 pages | 12 Mb


Download Graph and Model Transformation: General Framework and Applications



Graph and Model Transformation: General Framework and Applications Hartmut Ehrig, Claudia Ermel, Ulrike Golas, Frank Hermann
Publisher: Springer Berlin Heidelberg



Where the general framework for formalization of object oriented software development had and semi—formal model transformation from problem and application process model using theory of graph transformation and synthesis [15]. A General Framework for Publishing Privacy Protected and Utility Preserved Graph. Instant and Incremental QVT Transformation for Runtime Models. Therefore, most graph transformation approaches forbid the possibility of cloning. World Wide Towards module-based automatic partitioning of Java applications. 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. 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. Privacy preserving graph publication in a distributed environment. In general, scheduling mechanisms can be used to define composite. Separating the application knowledge from the mapping to a specific Codagen Architect [CA], b+m Generator Framework [B+M]) Model-to-model transformations usually use term or graph patterns (see Section 3.2.2 and. First establish a general framework in which motion estimation, quantization, and algorithms—a graph-based algorithm for near optimal SDQ in.

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