Tool interoperability for model-based systems engineering

TL;DR

This paper presents a service-oriented framework that enables seamless interoperability among diverse tools in model-based systems engineering, facilitating integrated control design for cyber-physical systems.

Contribution

It introduces Analytics as a Service built on the Arrowhead framework, automating model translation and integration of mono-disciplinary tools in a multi-disciplinary workflow.

Findings

Successful integration of tools via service-oriented architecture

Automated model translation between different tools

Enhanced workflow efficiency for control system design

Abstract

Supervisory control design of cyber-physical systems has many challenges. Model-based systems engineering can address these, with solutions originating from various disciplines. We discuss several tools, each state-of-the-art in its own discipline, offering functionality such as specification, synthesis, and verification. Integrating such mono-disciplinary tools in a multi-disciplinary workflow is a major challenge. We present Analytics as a Service, built on the Arrowhead framework, to connect these tools and make them interoperable. A seamless integration of the tools has been established through a service-oriented architecture: The engineer can easily access the functionality of the tools from a single interface, as translation steps between equivalent models for the respective tools are automated.