Advancements in Cyber-Physical Systems Development

The field of cyber-physical systems (CPS) is witnessing significant advancements in development methodologies, simulation frameworks, and virtualization techniques. Researchers are focusing on creating structured approaches to integrate mixed-criticality software into centralized architectures, ensuring real-time, safety, and scalability. Additionally, there is a growing emphasis on developing unified frameworks for maritime autonomy, enabling simulation, testing, and validation of autonomous surface vessels.

Notable papers in this area include: PyGemini, which introduces a novel Configuration-Driven Development process for maritime autonomy development, and MultiCoSim, a Python-based multi-fidelity co-simulation framework that supports distributed, component-based co-simulation. These innovative approaches are expected to advance the field of CPS, enabling the development of more efficient, scalable, and reliable systems.

Sources

Towards Mixed-Criticality Software Architectures for Centralized HPC Platforms in Software-Defined Vehicles: A Systematic Literature Review

PyGemini: Unified Software Development towards Maritime Autonomy Systems

Proceedings of the 23rd International Overture Workshop

ROS-related Robotic Systems Development with V-model-based Application of MeROS Metamodel

HabSim: Architecture for modelling disruptions, propagation, detection and repair in deep space habitats

Translating a VDM Model of a Medical Device into Kapture

On the Impossibility of a Perfect Hypervisor

Playing in the Sandbox: A Study on the Usability of Seccomp

Resilience through Automated Adaptive Configuration for Distribution and Replication

Scalable Software Testing in Fast Virtual Platforms: Leveraging SystemC, QEMU and Containerization

Deployment of Containerized Simulations in an API-Driven Distributed Infrastructure

MultiCoSim: A Python-based Multi-Fidelity Co-Simulation Framework

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