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Auflistung nach Schlagwort "Model-Based Engineering"

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  • Konferenzbeitrag
    Embedding Textual Languages in MagicDraw
    (Modellierung 2022 Satellite Events, 2022) Drux, Florian; Jansen, Nico; Rumpe, Bernhard; Schmalzing, David
    Stakeholders in model-based systems engineering projects often rely on heterogeneous modeling languages and tools. Efficient and seamless model-based engineering requires analyzing consistency, maintaining tracing information, and propagating changes of models of these languages even in different technological spaces. However, research on software language integration and inter-model consistency often only considers modeling languages and tools within the same technological space. We present a method for language composition across the technological spaces of the graphical modeling framework MagicDraw and the language workbench MontiCore. We realized language integration between these technological spaces by applying concepts of language aggregation to exchange essential model information and performing analysis on this information in an automated toolchain. The presented concepts can guide software language engineers and modeling tool developers on how to combine concepts of language composition to bridge technological spaces.
  • Journal Editorial
    Introduction to the Special Issue on Model-Driven Organisations
    (Enterprise Modelling and Information Systems Architectures (EMISAJ) – International Journal of Conceptual Modeling: Vol. 13, Nr. 3, 2018) Clark, Tony
    Modern organisations are faced with the very challenging problem of rapidly responding to continual external business pressures in order to sustain their competitiveness or to effectively perform mission-critical services. Difficulties arise because the continual evolution of systems and operational procedures that are performed in response to external pressures eventually lead to suboptimal configurations of systems and processes that drive the organisation.
  • Konferenzbeitrag
    Orthogonal Uncertainty Model: Documenting Uncertainty in the Engineering of Cyber-Physical Systems
    (Software Engineering 2022, 2022) Bandyszak, Torsten; Daun, Marian; Tenbergen, Bastian; Kuhs, Patrick; Wolf, Stefanie; Weyer, Thorsten
    In this talk, we present our contribution ''Orthogonal Uncertainty Modeling in the Engineering of Cyber-Physical Systems'' published in IEEE Transactions on Automation Science and Engineering in July 2020 [Ba20]. We have proposed a modeling language for ''Orthogonal Uncertainty Models'' (OUMs). OUMs constitute a dedicated, central artifact to document, analyze, understand, and discuss potential uncertainties that may occur during operation. Thereby, OUMs support the systematic consideration of potential uncertainties the system might face during operation. OUMs allow documenting various aspects of uncertainty (e.g., cause and effect) in a dedicated artifact. Trace links are used to relate uncertainty to, e.g., system requirements across different model-based artifacts. We have applied OUMs to an industrial case study from the industry automation domain.