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On the Need for Data-Based Model-Driven Engineering

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Security and Quality in Cyber-Physical Systems Engineering

Abstract

In order to deal with the increasing complexity of modern systems such as in software-intensive environments, models are used in many research fields as abstract descriptions of reality. On the one side, a model serves as an abstraction for a specific purpose, as a kind of “blueprint” of a system, describing a system’s structure and desired behavior in the design phase. On the other side, there are so-called runtime models providing real abstractions of systems during runtime, for example, to monitor runtime behavior. Today, we recognize a discrepancy between the early snapshots and their real-world correspondents. To overcome this discrepancy, we propose to fully integrate models from the very beginning within the life cycle of a system. As a first step in this direction, we introduce a data-based model-driven engineering approach where we provide a unifying framework to combine downstream information from the model-driven engineering process with upstream information gathered during a system’s operation at runtime, by explicitly considering also a timing component. We present this temporal model framework step-by-step by selected use cases with increasing complexity.

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Acknowledgements

This work has been supported by the Austrian Federal Ministry for Digital and Economic Affairs; by the National Foundation for Research, Technology and Development; and by the FWF in the Project TETRABox under the grant number P28519-N31.

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Authors and Affiliations

  1. Christian Doppler Laboratory for Model-Integrated Smart Production (CDL-MINT), WIN-SE, JKU Linz, Linz, Austria

    Alexandra Mazak, Sabine Wolny & Manuel Wimmer

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  1. Alexandra Mazak
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  2. Sabine Wolny
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  3. Manuel Wimmer
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Correspondence to Alexandra Mazak .

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Editors and Affiliations

  1. Institute of Information Systems Engineering, Technische Universität Wien, Vienna, Austria

    Stefan Biffl

  2. Institute of Information Systems Engineering, Technische Universität Wien, Vienna, Austria

    Matthias Eckhart

  3. Institute of Ergonomics, Manufacturing Systems and Automation, Otto von Guericke University Magdeburg, Magdeburg, Germany

    Arndt Lüder

  4. Institute of Information Systems Engineering, Technische Universität Wien, Vienna, Austria

    Edgar Weippl

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Mazak, A., Wolny, S., Wimmer, M. (2019). On the Need for Data-Based Model-Driven Engineering. In: Biffl, S., Eckhart, M., Lüder, A., Weippl, E. (eds) Security and Quality in Cyber-Physical Systems Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-25312-7_5

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