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International Conference on Software Quality

SWQD 2015: Software Quality. Software and Systems Quality in Distributed and Mobile Environments pp 89–107Cite as

Integrating Heterogeneous Engineering Tools and Data Models: A Roadmap for Developing Engineering System Architecture Variants

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 200))

Abstract

Developing large systems engineering projects require combined efforts of various engineering disciplines. Each engineering group uses specific engineering tools and data model concepts representing interfaces to other disciplines. However, individual concepts lack in completeness and include strong limitations regarding interoperability and data exchange capabilities. Thus, highly heterogeneous data models cause semantic gaps that hinder efficient collaboration between various disciplines. The design of an integration solution within a systematic engineering process typically requires re-modelling of the common data model (used for mapping individual local tool data models) to enable efficient data integration. However, designing and implementing integration approaches include continuously collecting new knowledge on the related application domains, in our case automation systems engineering projects, and integration capability that meet requirements of related domains. In this paper we report on a sequence of different architectural designs for an efficient and effective integration solution that lead to a similar and stable data model design for application in the automation systems domain. By means of iterative prototyping, candidates for modelling styles were tested for feasibility in context of industry use cases. In addition we applied an adjusted Architecture Tradeoff Analysis Method (ATAM) to assess the resulting final architecture variant.

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Notes

  1. 1.

    Christian Doppler Laboratory “Software Engineering Integration for Flexible Automation Systems”, http://cdl.ifs.tuwien.ac.at.

  2. 2.

    Downloadable http://cdlflex.org/conf/swqd15.

  3. 3.

    http://www.eplan.us

  4. 4.

    http://www.logicals.com

  5. 5.

    Downloadable under http://github.com/openengsb.

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Acknowledgments

This work has been supported by the Christian Doppler Forschungsgesellschaft and the BMWFJ, Austria.

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Authors and Affiliations

  1. Christian Doppler Laboratory, Software Engineering Integration for Flexible Automation Systems, Vienna University of Technology, Vienna, Austria

    Richard Mordinyi, Dietmar Winkler, Florian Waltersdorfer, Stefan Scheiber & Stefan Biffl

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  1. Richard Mordinyi
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  2. Dietmar Winkler
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  3. Florian Waltersdorfer
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  4. Stefan Scheiber
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  5. Stefan Biffl
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Corresponding author

Correspondence to Richard Mordinyi .

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Editors and Affiliations

  1. Vienna University of Technology, Vienna, Austria

    Dietmar Winkler

  2. Vienna University of Technology, Vienna, Austria

    Stefan Biffl

  3. Software Quality Lab GmbH, Linz, Austria

    Johannes Bergsmann

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Mordinyi, R., Winkler, D., Waltersdorfer, F., Scheiber, S., Biffl, S. (2015). Integrating Heterogeneous Engineering Tools and Data Models: A Roadmap for Developing Engineering System Architecture Variants. In: Winkler, D., Biffl, S., Bergsmann, J. (eds) Software Quality. Software and Systems Quality in Distributed and Mobile Environments. SWQD 2015. Lecture Notes in Business Information Processing, vol 200. Springer, Cham. https://doi.org/10.1007/978-3-319-13251-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-13251-8_6

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  • Online ISBN: 978-3-319-13251-8

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