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The current paper makes two contributions for the graph pattern matching problem of model transformation tools.
Over the last years, a wide range of graph and model transformation tools have been developed – all of them with their own particular strengths and typical application domains.
To this end, we develop model transformation tools to extract the underlying Markov process from the stochastic discrete-event model of the supervised system.
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Most activities in this area including the standardization efforts of the OMG are targeted towards the development of meta modeling tools, adaptable code generators, and model transformations tools.
In this paper, we give a survey and a comparison of the model and graph transformation tools that participated at the Transformation Tool Contest 2011.
This taxonomy can be used, among others, to help developers in deciding which model transformation language or tool is best suited to carry out a particular model transformation activity.
This paper focus on model transformation between these two tools, and an example shows the benefits of it.
The tool is based on model transformation in ATL and term-rewriting logic in Maude.
We automate such a translation between AADL and the dependability analysis tool HiP-HOPS by using model transformation techniques.
Lemna minor, the so-called common duckweed, is a model system of these aquatic plants for ecotoxicological bioassays, genetic transformation tools and industrial applications.
In this context, we have developed a testbed web tool which aims to be useful for learning model transformation techniques.
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