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书目名称Graph Transformations and Model-Driven Engineering影响因子(影响力)




书目名称Graph Transformations and Model-Driven Engineering影响因子(影响力)学科排名




书目名称Graph Transformations and Model-Driven Engineering网络公开度




书目名称Graph Transformations and Model-Driven Engineering网络公开度学科排名




书目名称Graph Transformations and Model-Driven Engineering被引频次




书目名称Graph Transformations and Model-Driven Engineering被引频次学科排名




书目名称Graph Transformations and Model-Driven Engineering年度引用




书目名称Graph Transformations and Model-Driven Engineering年度引用学科排名




书目名称Graph Transformations and Model-Driven Engineering读者反馈




书目名称Graph Transformations and Model-Driven Engineering读者反馈学科排名

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https://doi.org/10.1057/9780230583115 represent explicitly and at the right level of abstraction some relevant topological and logical features of models and systems, including nesting, hierarchies, sharing of resources, and pointers or links. We also provide an encoding of the proposed algebra into terms of a gs-monoidal theory, and t

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Mobility and Traffic in the 21st Century reliability of such systems, stochastic methods are required. Stochastic graph transformations allow the integrated modelling of these two concerns by associating with each rule and match a probability distribution governing the delay of its application. Depending on the nature of these distributio

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https://doi.org/10.1007/978-3-642-34053-6ions. In order to model an arbitrary number of actions at different places in the same model, the concept of amalgamated graph transformation has been proposed. Rule applications of certain regularity are described by a rule scheme which contains multi-rules modeling elementary actions and a common

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https://doi.org/10.1007/978-3-030-64140-5odeling language and vice-versa. The underlying data structure of such languages usually are some sort of graphs. Triple graph grammars (TGGs) are a formally founded language for describing correspondence relationships between two graph languages in a declarative way. Bidirectional graph language tr

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https://doi.org/10.1007/978-3-319-54446-5e. Pattern-based model-to-model transformation is our approach for specifying transformations in a declarative, relational and formal style. The approach relies on patterns describing allowed or forbidden relations between two models. These patterns are compiled into operational mechanisms to perfor