Properly arranging models, data sources, and their relations to engineer digital twins is
challenging. We propose a conceptual modeling framework for digital twins that captures the …

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 …

Introduction: Significant progress has been made in terms of best practice in research data
management for nanosafety. Some of the underlying approaches to date are, however …

Abstract Models are used in both Software Engineering (SE) and Artificial Intelligence (AI).
SE models may specify the architecture at different levels of abstraction and for addressing …

Background: Socio-cyber-physical systems (SCPSs) are a type of cyber-physical systems
with social concerns. Many SCPSs, such as smart homes, must be able to adapt to reach an …

Software modeling started as a paradigm to help developers build better software faster by
enabling them to specify, reason and manipulate software systems at a higher-abstraction …

The next generation of engineered systems ought to be more sustainable. In this context,
Digital Twins play a crucial role as key enablers of sustainability ambitions in systems …

Visual and interactive machine learning systems (IML) are becoming ubiquitous as they
empower individuals with varied machine learning expertise to analyze data. However, it …

Modelling and analysis are key to managing the increasing complexity and heterogeneity of
today's software-intensive systems. Historically, different research communities have studied …

As we move closer to the 6G era, the complexity and dynamism of communication networks
is set to increase significantly. This requires more sophisticated, automated management …