To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
Model transformation means converting an input model available at the beginning of the transformation process to an output model. A widely used approach to model transformation us...
This paper proposes the use of constraint logic programming (CLP) to perform model checking of traditional, imperative programs. We present a semantics-preserving translation from ...
Abstract. The Eclipse Graphical Modeling (GMF) Framework provides the major approach for implementing visual languages on top of the Eclipse platform. GMF relies on a family of mod...
Software design models are routinely adapted to domains, companies, and applications. This requires customizable consistency checkers that allow engineers to dynamically adapt mode...