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Collaborative Modelling with Version Control

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Software Technologies: Applications and Foundations (STAF 2017)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10748))

Abstract

Modelling and version control both play key roles in industrial-scale software development, yet their integration has proved difficult. Significant effort has been expended on improving file-based merging of modellers’ work, but empirical research shows the results of that approach still leave much to be desired in practice. Approaches based on multi-user modelling databases have often foundered by locking too broadly, thus preventing work on different elements in the same model, or by handling versioning themselves, leading to a silo. This article presents an approach to combining multi-user modelling with any external version control system, with no merging and no lock-outs.

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Notes

  1. 1.

    nomagic.com/products/magicdraw, sparxsystems.com/products/ea, metacase.com/mep.

  2. 2.

    http://pi.informatik.uni-siegen.de/CVSM/.

  3. 3.

    https://youtu.be/NSCfYAukYgk.

  4. 4.

    https://www.obeodesigner.com/.

  5. 5.

    https://youtu.be/nvGQlt8dqjI.

  6. 6.

    https://eclipse.org/cdo/.

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Acknowledgments

We would like to thank MetaCase’s Risto Pohjonen and Juha-Pekka Tolvanen for implementation work and discussion, and Jordi Cabot for making an early version of this material available for comment on his blog (http://modeling-languages.com/smart-model-versioning/).

Author information

Authors and Affiliations

  1. MetaCase, Jyväskylä, Finland

    Steven Kelly

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  1. Steven Kelly
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Correspondence to Steven Kelly .

Editor information

Editors and Affiliations

  1. Johannes Kepler University of Linz, Linz, Austria

    Martina Seidl

  2. Department of Informatics, King’s College London, London, United Kingdom

    Steffen Zschaler

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Kelly, S. (2018). Collaborative Modelling with Version Control. In: Seidl, M., Zschaler, S. (eds) Software Technologies: Applications and Foundations. STAF 2017. Lecture Notes in Computer Science(), vol 10748. Springer, Cham. https://doi.org/10.1007/978-3-319-74730-9_3

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  • DOI: https://doi.org/10.1007/978-3-319-74730-9_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74729-3

  • Online ISBN: 978-3-319-74730-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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