Context Collaborative systems enable multiple independent systems to work together
towards a common goal. These systems can include both human-system and system-system …

Artificial Intelligence and machine learning is rapidly equip** modern systems with real-
time learning and autonomous decision-making capabilities allowing these systems to …

Artificial intelligence and machine learning (AI/ML) technologies convert conventional
engineered systems into autonomous systems that are capable of performing tasks in their …

The specification of requirements and tests are crucial activities in automotive development
projects. However, due to the increasing complexity of automotive systems, practitioners fail …

For early validation of system concepts, reviews of SysML models can be complemented by
employing simulation models as virtual prototypes. Such simulation models can be …

Software-intensive systems-of-systems (SoS) refer to an arrangement of managerially and
operationally independent systems (ie, constituent systems), which work collaboratively …

ABSTRACT Industry 4.0, the Internet of Things, and large‐scale system‐to‐system
interactions are driving digital transformation in the industry. Model‐based systems …

New mobility solutions can be characterized as a System of Systems (SoS). SoS
characteristics such as emergent system behavior and the operational and managerial …

One of the prominent domains of nowadays software engineering concerns on building and
maintaining the so-called system-of-systems (SoS). The activity of integrating independent …

This study introduces a Mitigation Ontology (MO) designed for the analysis of safety-critical
systems. Recognizing the paramount importance of systematically addressing potential risks …