Skip to main content
SpringerLink
Log in
Book cover

International Conference on Advanced Information Systems Engineering

CAiSE 2022: Intelligent Information Systems pp 110–119Cite as

Temporal Performance Analysis for Block-Structured Process Models in Cortado

  • Conference paper
  • First Online:

  • 891 Accesses

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 452))

Abstract

Process mining techniques provide insights into operational processes by systematically analyzing event data generated during process execution. These insights are used to improve processes, for instance, in terms of runtime, conformity, or resource allocation. Time-based performance analysis of processes is a key use case of process mining. This paper presents the performance analysis functionality in the process mining software tool Cortado. We present novel performance analyses for block-structured process models, i.e., hierarchical structured Petri nets. By assuming block-structured models, detailed performance indicators can be calculated for each block that makes up the model. This detailed temporal information provides valuable insight into the process under study and facilitates analysts to identify optimization potential.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. van der Aalst, W.M.P.: Process Mining. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-49851-4

    Book  Google Scholar 

  2. Adriansyah, A.: Aligning observed and modeled behavior. Ph.D. thesis (2014). https://doi.org/10.6100/IR770080

  3. Adriansyah, A., Van Dongen, B., Piessens, D., Wynn, M., Adams, M.: Robust performance analysis on yawl process models with advanced constructs. J. Inf. Technol. Theor. Appl. (JITTA) 12(3) (2012). https://doi.org/10.1.1.227.6079

  4. Carmona, J., van Dongen, B.F., Solti, A., Weidlich, M.: Conformance Checking - Relating Processes and Models. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99414-7

  5. van Dongen, B.F., de Medeiros, A.K.A., Verbeek, H.M.W., Weijters, A.J.M.M., van der Aalst, W.M.P.: The ProM framework: a new era in process mining tool support. In: Ciardo, G., Darondeau, P. (eds.) ICATPN 2005. LNCS, vol. 3536, pp. 444–454. Springer, Heidelberg (2005). https://doi.org/10.1007/11494744_25

    Chapter  Google Scholar 

  6. Dumas, M., Rosa, M.L., Mendling, J., Reijers, H.A.: Fundamentals of Business Process Management. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-33143-5

  7. La Rosa, M., et al.: APROMORE: an advanced process model repository. Exp. Syst. Appl. 38(6) (2011). https://doi.org/10.1016/j.eswa.2010.12.012

  8. Leemans, M., van der Aalst, W.M.P., van den Brand, M.G.J.: Hierarchical performance analysis for process mining. Association for Computing Machinery (2018). https://doi.org/10.1145/3202710.3203151

  9. Leemans, S.J.J.(ed.): Robust Process Mining with Guarantees. LNBIP, vol. 440. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-96655-3

  10. Piessens, D., Wynn, M.T., Adams, M., van Dongen, B.F., et al.: Performance analysis of business process models with advanced constructs (2010)

    Google Scholar 

  11. Schuster, D., van Zelst, S.J., van der Aalst, W.M.P.: Cortado—an interactive tool for data-driven process discovery and modeling. In: Buchs, D., Carmona, J. (eds.) PETRI NETS 2021. LNCS, vol. 12734, pp. 465–475. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-76983-3_23

    Chapter  Google Scholar 

  12. van der Aalst, W.M.P.: A practitioner’s guide to process mining: limitations of the directly-follows graph. Procedia Comput. Sci. 164 (2019). https://doi.org/10.1016/j.procs.2019.12.189

Download references

Author information

Authors and Affiliations

  1. Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, Germany

    Daniel Schuster, Sebastiaan J. van Zelst & Wil M. P. van der Aalst

  2. RWTH Aachen University, Aachen, Germany

    Daniel Schuster, Lukas Schade, Sebastiaan J. van Zelst & Wil M. P. van der Aalst

Authors
  1. Daniel Schuster
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lukas Schade
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sebastiaan J. van Zelst
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wil M. P. van der Aalst
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Daniel Schuster .

Editor information

Editors and Affiliations

  1. KU Leuven Research Center for Information Systems Engineering (LIRIS), Leuven, Belgium

    Jochen De Weerdt

  2. The University of Melbourne, Carlton, VIC, Australia

    Artem Polyvyanyy

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Schuster, D., Schade, L., van Zelst, S.J., van der Aalst, W.M.P. (2022). Temporal Performance Analysis for Block-Structured Process Models in Cortado. In: De Weerdt, J., Polyvyanyy, A. (eds) Intelligent Information Systems. CAiSE 2022. Lecture Notes in Business Information Processing, vol 452. Springer, Cham. https://doi.org/10.1007/978-3-031-07481-3_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-07481-3_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-07480-6

  • Online ISBN: 978-3-031-07481-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation