Skip to main content

Disambiguation of DMN Decision Tables

  • Conference paper
  • First Online:
Business Information Systems (BIS 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 320))

Included in the following conference series:

Abstract

The Decision Model and Notation (DMN) is a specification for the design of decision models. The logic of those decisions can be expressed in standardized decision tables. The standard allows to create tables that contain overlapping rules. This leads to ambiguities and we argue that such tables are hard to understand and unsuitable for analysis tasks. This paper describes an algorithm to transform ambiguous DMN decision tables to equivalent ones that only contain exclusive rules, thereby resolving ambiguities. We implemented our algorithm and evaluated it against a set of synthetic decision tables.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Institutional subscriptions

Notes

  1. 1.

    The interval does not include the upper endpoint because for the value 10 also r2 would be active.

References

  1. Batoulis, K., Haarmann, S., Weske, M.: Various notions of soundness for decision-aware business processes. In: Mayr, H.C., Guizzardi, G., Ma, H., Pastor, O. (eds.) ER 2017. LNCS, vol. 10650, pp. 403–418. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-69904-2_31

    Chapter  Google Scholar 

  2. Batoulis, K., Weske, M.: Soundness of decision-aware business processes. In: Carmona, J., Engels, G., Kumar, A. (eds.) BPM 2017. LNBIP, vol. 297, pp. 106–124. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65015-9_7

    Chapter  Google Scholar 

  3. Bazhenova, E., Haarmann, S., Ihde, S., Solti, A., Weske, M.: Discovery of fuzzy DMN decision models from event logs. In: Dubois, E., Pohl, K. (eds.) CAiSE 2017. LNCS, vol. 10253, pp. 629–647. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59536-8_39

    Chapter  Google Scholar 

  4. Bentley, J.L., Ottmann, T.A.: Algorithms for reporting and counting geometric intersections. IEEE Trans. Comput. 28(9), 643–647 (1979)

    Article  Google Scholar 

  5. Calvanese, D., Dumas, M., Laurson, Ü., Maggi, F.M., Montali, M., Teinemaa, I.: Semantics and analysis of DMN decision tables. In: La Rosa, M., Loos, P., Pastor, O. (eds.) BPM 2016. LNCS, vol. 9850, pp. 217–233. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45348-4_13

    Chapter  Google Scholar 

  6. Calvanese, D., Dumas, M., Laurson, Ü., Maggi, F.M., Montali, M., Teinemaa, I.: Semantics, analysis and simplification of dmn decision tables. Information Systems (2018)

    Google Scholar 

  7. Hasić, F., Smedt, J.D., Vanthienen, J.: Augmenting processes with decision intelligence: principles for integrated modelling. Decis. Support Syst. 107, 1–12 (2017)

    Article  Google Scholar 

  8. OMG: Decision Model and Notation, Version 1.1, May 2016

    Google Scholar 

  9. Vanthienen, J., Snoeck, M.: Knowledge factoring using normalization theory. In: International Symposium on the Management of Industrial and Corporate Knowledge (ISMICK), pp. 97–106 (1993)

    Google Scholar 

  10. Von Halle, B., Goldberg, L.: The Decision Model: A Business Logic Framework Linking Business and Technology. Taylor and Francis Group, Boca Raton (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kimon Batoulis .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Batoulis, K., Weske, M. (2018). Disambiguation of DMN Decision Tables. In: Abramowicz, W., Paschke, A. (eds) Business Information Systems. BIS 2018. Lecture Notes in Business Information Processing, vol 320. Springer, Cham. https://doi.org/10.1007/978-3-319-93931-5_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-93931-5_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93930-8

  • Online ISBN: 978-3-319-93931-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics