Applications of Graph Transformations with Industrial by Jana Koehler, Thomas Gschwind, Jochen Küster, Cesare PDF

By Jana Koehler, Thomas Gschwind, Jochen Küster, Cesare Pautasso, Ksenia Ryndina (auth.), Andy Schürr, Manfred Nagl, Albert Zündorf (eds.)

ISBN-10: 354089019X

ISBN-13: 9783540890195

ISBN-10: 3540890203

ISBN-13: 9783540890201

This ebook constitutes the completely refereed post-conference court cases of the 3rd foreign Symposium on functions of Graph ameliorations, AGTIVE 2007, held in Kassel, Germany, in October 2007.

The 30 revised complete papers awarded including 2 invited papers have been conscientiously chosen from a variety of submissions in the course of rounds of reviewing and development. The papers are geared up in topical sections on graph transformation purposes, meta-modeling and domain-specific language, new graph transformation techniques, application transformation functions, dynamic procedure modeling, version pushed software program improvement functions, queries, perspectives, and version modifications, in addition to new trend matching and rewriting thoughts. the amount furthermore comprises four papers caused by the adjoining graph transformation device contest and concludes with nine papers summarizing the cutting-edge of modern on hand graph transformation environments.

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Additional info for Applications of Graph Transformations with Industrial Relevance: Third International Symposium, AGTIVE 2007, Kassel, Germany, October 10-12, 2007, Revised Selected and Invited Papers

Example text

When rendering scenes, one can calculate the area of a scene that can be viewed by a virtual camera. Every object that is not within this area should not be rendered because this would just waste computing power. Using scene graphs one can easily exclude objects of the rendering process because when a parent node is not visible in the virtual camera all children are also not visible and you can simply exclude the whole branch without testing every child object for visibility. As you see, scene graphs built a simple and power saving data structure for scenes used in computer graphics.

Figure 3 shows an excerpt of the enhanced meta model (elements depicted in bold are enhancements to the original meta model). start() : Token : Token : ActivityEdge : Action : ActivityEdge Objekt6 : Action Fig. 4. start() token class, having associations to elements which are supposed to carry tokens. Instances of this meta model allow to express states of execution of the modeled Activity. The dynamic semantics is specified by developing a set of operational rules which describe how instances of the semantic domain meta model change in time.

The whole approach is supported by a tool chain which combines editors, transformers and in particular the model checking tool GROOVE. Outlook. Our approach concentrates mainly on the merging of two sets of graph transformation rules and the properties to be checked on the resulting transition systems. One important prerequisite for generating the transition system is the start state of the combined graph transformation system. Section 3 explained 30 G. Engels et al. how the start state of DMM is generated from the instance graph of the UML Activity, and the start state of the service level data model is constructed using a global precondition.

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Applications of Graph Transformations with Industrial Relevance: Third International Symposium, AGTIVE 2007, Kassel, Germany, October 10-12, 2007, Revised Selected and Invited Papers by Jana Koehler, Thomas Gschwind, Jochen Küster, Cesare Pautasso, Ksenia Ryndina (auth.), Andy Schürr, Manfred Nagl, Albert Zündorf (eds.)


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