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A Multi-Model Reviewing Approach for Production Systems Engineering Models

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Model-Driven Engineering and Software Development (MODELSWARD 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1361))

Abstract

Background. In Production Systems Engineering (PSE) models, which describe plants, represent different views on several engineering disciplines (such as mechanical, electrical and software engineering) and may contain up to 10,000s of instance elements, such as concepts, attributes and relationships. Validating these models requires an integrated multi-model view and the domain expertise of human experts related to individual views. Unfortunately, the heterogeneity of disciplines, tools, and data formats makes it hard to provide a technology-independent multi-model view. Aim. In this paper, we aim at improving Multi-Model Reviewing (MMR) capabilities of domain experts based on selected model visualisation methods and mechanisms. Method. We (a) derive requirements for graph-based visualisation to facilitate reviewing multi-disciplinary models; (b) introduce the MMR approach to visualise engineering models for review as hierarchical and linked structures; (c) design an MMR software prototype; and (d) evaluate the prototype based on tasks derived from real-world PSE use cases. For evaluation purposes we compare capabilities of the MMR prototype and a text-based model editor. Results. The MMR prototype enabled performing the evaluation tasks in most cases considerable faster than the standard text-based model editor. Conclusion. The promising results of the MMR approach in the evaluation context warrant empirical studies with a wider range of domain experts and use cases on the usability and usefulness of the MMR approach in practice.

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Notes

  1. 1.

    SysML: sysml.org.

  2. 2.

    AutomationML: www.automationml.org.

  3. 3.

    AutomationML Editor: www.automationml.org.

  4. 4.

    Siemens COMOS: https://www.siemens.com/comos.

  5. 5.

    Angular: angular.io.

  6. 6.

    RXJS: reactivex.io.

  7. 7.

    Java Script Library D3: d3js.org.

  8. 8.

    Spring Boot: spring.io/projects/spring-boot.

  9. 9.

    Prototype Screencasts: https://qse.ifs.tuwien.ac.at/2019-graph-visualization/.

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Acknowledgment

The financial support by the Christian Doppler Research Association, the Austrian Federal Ministry for Digital & Economic Affairs and the National Foundation for Research, Technology and Development is gratefully acknowledged.

This work has been funded by the project OBARIS, which has received funding from the Austrian Research Promotion Agency (FFG) under grant 877389.

Author information

Authors and Affiliations

  1. Christian Doppler Laboratory for Security and Quality Improvement in the Production System Lifecycle (CDL-SQI), Technische Universität Wien, Vienna, Austria

    Felix Rinker, Laura Waltersdorfer & Dietmar Winkler

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

    Felix Rinker, Laura Waltersdorfer, Manuel Schüller, Stefan Biffl & Dietmar Winkler

Authors
  1. Felix Rinker
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  2. Laura Waltersdorfer
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  3. Manuel Schüller
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  4. Stefan Biffl
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  5. Dietmar Winkler
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Corresponding author

Correspondence to Felix Rinker .

Editor information

Editors and Affiliations

  1. Siège du Groupe ESEO, Angers Cedex 02, France

    Slimane Hammoudi

  2. University of Twente, Enschede, The Netherlands

    Luís Ferreira Pires

  3. Malina Software Corp., Nepean, ON, Canada

    Bran Selić

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Rinker, F., Waltersdorfer, L., Schüller, M., Biffl, S., Winkler, D. (2021). A Multi-Model Reviewing Approach for Production Systems Engineering Models. In: Hammoudi, S., Pires, L.F., Selić, B. (eds) Model-Driven Engineering and Software Development. MODELSWARD 2020. Communications in Computer and Information Science, vol 1361. Springer, Cham. https://doi.org/10.1007/978-3-030-67445-8_6

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  • DOI: https://doi.org/10.1007/978-3-030-67445-8_6

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  • Online ISBN: 978-3-030-67445-8

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