Towards a Model-Based DevOps for Cyber-Physical Systems
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The emerging field of Cyber-Physical Systems (CPS) calls for new scenarios of the use of models. In particular, CPS require to support both the integration of physical and cyber parts in innovative complex systems or production chains, together with the management of the data gathered from the environment to drive dynamic reconfiguration at runtime or finding improved designs. In such a context, the engineering of CPS must rely on models to uniformly reason about various heterogeneous concerns all along the system life cycle. In the last decades, the use of models has been intensively investigated both at design time for driving the development of complex systems, and at runtime as a reasoning layer to support deployment, monitoring and runtime adaptations. However, the approaches remain mostly independent. With the advent of DevOps principles, the engineering of CPS would benefit from supporting a smooth continuum of models from design to runtime, and vice versa. In this vision paper, we introduce a vision for supporting model-based DevOps practices, and we infer the corresponding research roadmap for the modeling community to address this vision by discussing a CPS demonstrator.
This work has been partially supported and funded by the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development, by the FWF under the grant numbers P28519-N31 and P30525-N31, and the Inria/Safran collaboration GLOSE.
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