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Mining team compositions for collaborative work in business processes

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Abstract

Process mining aims at discovering processes by extracting knowledge about their different perspectives from event logs. The resource perspective (or organisational perspective) deals, among others, with the assignment of resources to process activities. Mining in relation to this perspective aims to extract rules on resource assignments for the process activities. Prior research in this area is limited by the assumption that only one resource is responsible for each process activity, and hence, collaborative activities are disregarded. In this paper, we leverage this assumption by developing a process mining approach that is able to discover team compositions for collaborative process activities from event logs. We evaluate our novel mining approach in terms of computational performance and practical applicability.

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Notes

  1. Documentations about JBoss Drools is available at http://docs.jboss.org/drools.

  2. A screencast of the DpilMiner is accessible online at http://miner.kppq.de.

  3. The event log is available for download at http://workbench.kppq.de.

  4. DOI:10.4121/uuid:31a308ef-c844-48da-948c-305d167a0ec1.

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Authors and Affiliations

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

    Stefan Schönig, Cristina Cabanillas, Claudio Di Ciccio & Jan Mendling

  2. University of Bayreuth, Bayreuth, Germany

    Stefan Jablonski

Authors
  1. Stefan Schönig
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  2. Cristina Cabanillas
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  3. Claudio Di Ciccio
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  4. Stefan Jablonski
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  5. Jan Mendling
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Corresponding author

Correspondence to Stefan Schönig.

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Communicated by Dr. Selmin Nurcan.

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Schönig, S., Cabanillas, C., Di Ciccio, C. et al. Mining team compositions for collaborative work in business processes. Softw Syst Model 17, 675–693 (2018). https://doi.org/10.1007/s10270-016-0567-4

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  • DOI: https://doi.org/10.1007/s10270-016-0567-4

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