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Monitoring the Software Development Process with Process Mining

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Business Modeling and Software Design (BMSD 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 319))

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Abstract

Software projects typically need to be monitored in detail regarding when what was done in order to demonstrate adherence to methodologies, rules, regulations, guidelines or best practices. To this end, it is of utmost importance to obtain factual knowledge from empirical evidence about the actual software development process. A major problem in this context is the lack of a centralized control of by a central system. Although it is hard to obtain full knowledge of the overall software development process, several cues can be gathered by analyzing pieces of information that are stored by supporting IT systems (e.g., issue trackers and version control). This position paper presents research in progress for extracting process knowledge from the historical data of software artifacts. This work extends the applicability of process mining techniques to software processes.

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Notes

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    https://www.scrum.org.

  2. 2.

    http://www.promtools.org.

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Authors and Affiliations

  1. Vienna University of Economics and Business, Vienna, Austria

    Saimir Bala & Jan Mendling

Authors
  1. Saimir Bala
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  2. Jan Mendling
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Correspondence to Saimir Bala .

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Editors and Affiliations

  1. Bulgarian Academy of Sciences, Institute of Mathematics and Informatics (IMI)/Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technology (IICREST), Sofia, Bulgaria

    Boris Shishkov

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Bala, S., Mendling, J. (2018). Monitoring the Software Development Process with Process Mining. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2018. Lecture Notes in Business Information Processing, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-319-94214-8_34

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  • DOI: https://doi.org/10.1007/978-3-319-94214-8_34

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  • Print ISBN: 978-3-319-94213-1

  • Online ISBN: 978-3-319-94214-8

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