Abstract. This paper presents the role of meta-modelling and graph transformation in our approach for the modelling, analysis and simulation of complex systems. These are made of c...
Component middleware provides dependable and efficient platforms that support key functional, and quality of service (QoS) needs of distributed real-time embedded (DRE) systems. C...
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
Abstract. Local confluence is an important property in many rewriting and transformation systems. The notion of critical pairs is central for being able to verify local confluence ...
Hartmut Ehrig, Annegret Habel, Leen Lambers, Ferna...
Model checking is increasingly popular for hardware and, more recently, software verification. In this paper we describe two different approaches to extend the benefits of model ...