This paper provides a comprehensive overview and analysis of research work on how
uncertainty is currently represented in software models. The survey presents the definitions …

Abstract The Robot Operating System (ROS) has become the de-facto standard framework
for robotics software, and a great part of commercial robots is expected to have at least one …

Low-code is being promoted as the key infrastructure for the digital transformation of our
society. But is there something fundamentally new behind the low-code movement? How …

Digital twins emerge in many disciplines to support engineering, monitoring, controlling, and
optimizing cyber-physical systems, such as airplanes, cars, factories, medical devices, or …

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 …

Both conceptual modeling and machine learning have long been recognized as important
areas of research. With the increasing emphasis on digitizing and processing large amounts …

Modeling languages and frameworks have been the key technology for advancing model-
driven engineering (MDE) methods and tools. Many industrial and research tools have been …

Systems engineering has gained in maturity over the last decades and started a transition
from document-centric approaches to Model-Based Systems Engineering (MBSE). Several …

Abstract Internet of Things (IoT) applications are exposed to harsh conditions due to factors
such as device failure, network problems, or implausible sensor values. We investigate how …

Modeling is requiring increasingly larger efforts while becoming indispensable given the
complexity of the problems we are solving. Modelers face high cognitive load to understand …