Abstract Cyber–Physical Systems (CPS) are heterogeneous and require cross-domain
expertise to model. The complexity of these systems leads to questions about prevalent …

Blended modeling aims to improve the user experience of modeling activities by prioritizing
the seamless interaction with models through multiple notations over the consistency of the …

The engineering of modern software-intensive systems is carried out in collaboration among
stakeholders with specialized expertise. The complexity of such systems often also …

To cope with the challenge of managing the complexity of automated production systems,
model-based approaches are applied increasingly. However, due to the multitude of …

Requirements are often incomplete or imprecise. Especially when innovation is a
pronounced aspect of product development, sufficiently refined requirements can only be …

Model-based Low-Code systems rely on high-level specifications (models) to generate all
artifacts of the resulting software. Such artifacts can be code, schemas, as well as data, and …

Inconsistencies between stakeholders' views pose a severe challenge in the engineering of
complex systems. The past decades have seen a vast number of sophisticated …

Engineering workflow models are frequently used to optimize an engineering endeavor for
some well-defined performance metrics, such as time-to-market or monetary costs. Static …

Model-driven development (MDD) in the Artificial Intelligence of Things (AIoT) domain faces
significant challenges in ensuring the consistency and preservation of model properties …

Human guidance is often desired in reinforcement learning to improve the performance of
the learning agent. However, human insights are often mere opinions and educated …