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Extracting a Collaboration Model from VCS Logs Based on Process Mining Techniques

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Business Process Management Workshops (BPM 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 362))

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Abstract

A precise overview on how software developers collaborate on code could reveal new insights such as indispensable resources, potential risks and better team awareness. Version control system logs keep track of what team members worked on and when exactly this work took place. Since it is possible to derive collaborations from this information, these logs form a valid data source to extract this overview from. This concept shows many similarities with how process mining techniques can extract process models from execution logs. The fuzzy mining algorithm [5] in particular holds many useful ideas and metrics that can also be applied to our problem case. This paper describes the development of a tool that extracts a collaboration graph from a version control system log. It explores to what extend fuzzy mining techniques can be incorporated to construct and simplify the visualization. A demonstration of the tool on a real-life version control system log is given. The paper concludes with a discussion of future work.

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Notes

  1. 1.

    The source code is available on github.com/LeenJooken/CollaborationVisualizer.git.

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Authors and Affiliations

  1. Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium

    Leen Jooken, Mathijs Creemers & Mieke Jans

Authors
  1. Leen Jooken
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  2. Mathijs Creemers
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  3. Mieke Jans
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Corresponding author

Correspondence to Leen Jooken .

Editor information

Editors and Affiliations

  1. Fondazione Bruno Kessler, Trento, Italy

    Chiara Di Francescomarino

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Remco Dijkman

  3. University of Vienna, Vienna, Austria

    Uwe Zdun

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Jooken, L., Creemers, M., Jans, M. (2019). Extracting a Collaboration Model from VCS Logs Based on Process Mining Techniques. In: Di Francescomarino, C., Dijkman, R., Zdun, U. (eds) Business Process Management Workshops. BPM 2019. Lecture Notes in Business Information Processing, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-37453-2_18

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  • DOI: https://doi.org/10.1007/978-3-030-37453-2_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37452-5

  • Online ISBN: 978-3-030-37453-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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