Model-Based DevOps: Foundations and Challenges
Benoît Combemale, Jean‐Marc Jezéquél, Quentin Perez, Didier Vojtisek, Nico Jansen, Judith Michael, Florian Rademacher, Bernhard Rumpe⋆, Andreas Wortmann, Jingxi Zhang
Abstract
Time-to-market and continuous improvement are key success indicators to deliver for Industry 4.0 Cyber-Physical Systems (CPSs). There is thus a growing interest in adapting DevOps approaches coming from software systems to CPSs. However, CPSs are made not only of software but also of physical parts that need to be monitored at runtime. In this paper, we claim that Model-Driven Engineering can facilitate DevOps for CPSs by automatically connecting a CPS design model to its runtime monitoring, in the form of a digital twin.
Topics & Concepts
DevOpsComputer scienceKey (lock)Software engineeringSoftwareCyber-physical systemModel-driven architectureSoftware developmentSystems engineeringSoftware deploymentComputer securityEngineeringOperating systemAdvanced Software Engineering MethodologiesFlexible and Reconfigurable Manufacturing SystemsModel-Driven Software Engineering Techniques