Abstract. Triple Graph Grammars (TGGs) are a well-established concept for the specification of model transformations. In previous work we have formalized and analyzed already cruc...
Frank Hermann, Hartmut Ehrig, Fernando Orejas, Ulr...
In this paper we introduce a novel wide-profile graphical tool-building platform GrTP which is based on the principle of separating semantic domain model processing and user inter...
Janis Barzdins, Andris Zarins, Karlis Cerans, Audr...
Model-based development of highly complex software systems leads to large models. Storing them in repositories offers the possibility to work with these models in a distributed env...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Bidirectional model transformation plays an important role in maintaining consistency between two models, and has many potential applications in software development, including mo...