Smart grids with interoperability improve grid reliability by collecting system information and
transferring it to an energy management system and associated applications through a …

During the development of large software-intensive systems, developers use several
modeling languages and tools to describe a system from different viewpoints. Model-driven …

When models of a system change, analyses based on them have to be reevaluated in order
for the results to stay meaningful. In many cases, the time to get updated analysis results is …

To cope with the increased complexity, physical systems are more and more supported by
software systems consisting of multiple subsystems. Usually, each of the subsystems uses …

Using multiple models to describe a software system, often poses the challenge to keep
them consistent automatically. While there is much research on preserving consistency of …

Model-driven technologies are widely used in the development of systems in the automotive
domain. Although modelling tools and code generation increase the development speed …

This paper presents a solution to the Smart Grid case at the Transformation Tool Contest
(TTC) 2017 using the .NET Modeling Framework (NMF). The goal of this case was to create …

The rapid advancement of technology and the increasing need for sustainable energy
solutions have driven the emergence of smart grids. The integration of smart grid …

Today's product innovations increasingly consist of tightly coupled heterogeneous smart
systems. This trend can also be observed in the automotive domain. In future seamless …

Increasingly, software acts as a “non-human modeler”(NHM), managing a model according
to high-level goals rather than a predefined script. To foster adoption, we argue that we …