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A Code-Efficient Process Scripting Language

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Conceptual Modeling (ER 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12400))

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Abstract

Business process management systems are an important piece of infrastructure for digital transformation initiatives. Rapid development of executable business processes is a key requirement in this context. Even though there are various process modeling languages available, none of them is designed with the ambition to be code efficient and expressive at the same time. In this paper, we investigated the research question how a process scripting language can be defined that addresses the four requirements of code efficiency, control flow expressiveness, data processing and event processing. To this end, we designed and implemented a process scripting language based on Kotlin. To analyze the language regarding the four requirements, we use the language in a case study of a real-world process of our industry partner.

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Notes

  1. 1.

    https://cadenceworkflow.io.

  2. 2.

    https://netflix.github.io/conductor/.

  3. 3.

    https://docs.aws.amazon.com/step-functions/latest/dg/welcome.html.

  4. 4.

    https://kotlinlang.org/.

  5. 5.

    https://www.w3.org/TR/xmlschema-2/#isoformats.

  6. 6.

    https://github.com/factdriven (commit tag ER-2020-Demo).

  7. 7.

    https://kotlinlang.org/docs/reference/type-safe-builders.html.

  8. 8.

    https://www.jetbrains.com/idea/.

  9. 9.

    https://camunda.com/products/bpmn-engine/.

  10. 10.

    https://github.com/factdriven (commit tag ER-2020-Demo).

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Acknowledgement

The concept and design of Factscript as well as its implementation in Kotlin was done by Martin Schimak, plexiti GmbH.

This research is partially funded by FFG (ref. no. 876062).

Author information

Authors and Affiliations

  1. Institute for Information Business, WU Wien, Vienna, Austria

    Maxim Vidgof, Philipp Waibel & Jan Mendling

  2. Plexiti, Vienna, Austria

    Martin Schimak

  3. Phactum, Wickenburggasse 26/2, 1080, Vienna, Austria

    Alexander Seik & Peter Queteschiner

Authors
  1. Maxim Vidgof
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  2. Philipp Waibel
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  3. Jan Mendling
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  4. Martin Schimak
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  5. Alexander Seik
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  6. Peter Queteschiner
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Corresponding author

Correspondence to Maxim Vidgof .

Editor information

Editors and Affiliations

  1. University of Auckland, Auckland, New Zealand

    Gillian Dobbie

  2. University of Duisburg-Essen, Essen, Germany

    Ulrich Frank

  3. TU Wien, Vienna, Austria

    Gerti Kappel

  4. Brigham Young University, Provo, UT, USA

    Stephen W. Liddle

  5. University of Klagenfurt, Klagenfurt am Wörthersee, Austria

    Heinrich C. Mayr

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Vidgof, M., Waibel, P., Mendling, J., Schimak, M., Seik, A., Queteschiner, P. (2020). A Code-Efficient Process Scripting Language. In: Dobbie, G., Frank, U., Kappel, G., Liddle, S.W., Mayr, H.C. (eds) Conceptual Modeling. ER 2020. Lecture Notes in Computer Science(), vol 12400. Springer, Cham. https://doi.org/10.1007/978-3-030-62522-1_13

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  • DOI: https://doi.org/10.1007/978-3-030-62522-1_13

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  • Online ISBN: 978-3-030-62522-1

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