Abstract
Decision Model and Notation provides a modeling notation for decisions, supports decision management, and business rules specification. In this paper, we identify research directions concerning DMN standard, outline classification of DMN research areas and perspectives of this relatively new formalism.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
We rejected the papers where DMN has a different meaning, e.g. a model compound 2,6 -dimethynaphthalate, dichotomous markov noise, default mode networks, etc.
References
OMG: Decision Model and Notation (DMN). Version 1.1. Technical report formal/16-06-01, Object Management Group (2016)
Linehan, M., de Sainte Marie, C.: The relationship of decision model and notation (DMN) to SBVR and BPMN. Bus. Rules J. 12(6) (2011)
Biard, T., Le Mauff, A., Bigand, M., Bourey, J.-P.: Separation of decision modeling from business process modeling using new “Decision Model and Notation” (DMN) for automating operational decision-making. In: Camarinha-Matos, L.M., Bénaben, F., Picard, W. (eds.) PRO-VE 2015. IAICT, vol. 463, pp. 489–496. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24141-8_45
Debevoise, T., Taylor, J., Sinur, J., Geneva, R.: The MicroGuide to Process and Decision Modeling in BPMN/DMN: Building More Effective Processes by Integrating Process Modeling with Decision Modeling. CreateSpace Independent Publishing Platform (2014)
Silver, B.: DMN Method & Style. Cody-Cassidy Press, Altadena (2016)
Taylor, J., Fish, A., Vanthienen, J., Vincent, P.: Emerging standards in decision modeling - an introduction to decision model & notation. In: iBPMS: Intelligent BPM Systems: Intelligent BPM Systems: Impact and Opportunity. BPM and Workflow Handbook Series, pp. 133–146. Future Strategies, Inc. (2013)
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
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
Batoulis, K., Baumgraß, A., Herzberg, N., Weske, M.: Enabling dynamic decision making in business processes with DMN. In: Reichert, M., Reijers, H.A. (eds.) BPM 2015. LNBIP, vol. 256, pp. 418–431. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42887-1_34
Dangarska, Z., Figl, K., Mendling, J.: An explorative analysis of the notational characteristics of the Decision Model and Notation (DMN). In: 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW), pp. 1–9. IEEE (2016)
Janssens, L., Bazhenova, E., De Smedt, J., Vanthienen, J., Denecker, M.: Consistent integration of decision (DMN) and process (BPMN) models. In: Proceedings of the CAiSE’16 Forum, at the 28th International Conference on Advanced Information Systems Engineering (CAiSE 2016), Ljubljana, Slovenia, June 13–17, 2016, vol. 1612, pp. 121–128. CEUR-WS. org (2016)
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
Calvanese, D., Dumas, M., Maggi, F.M., Montali, M.: Semantic DMN: formalizing decision models with domain knowledge. In: Costantini, S., Franconi, E., Van Woensel, W., Kontchakov, R., Sadri, F., Roman, D. (eds.) RuleML+RR 2017. LNCS, vol. 10364, pp. 70–86. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-61252-2_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)
Hasic, F., Vanwijck, L., Vanthienen, J.: Integrating processes, cases, and decisions for knowledge-intensive process modelling. In: Proceedings of the 1st International Workshop on Practicing Open Enterprise Modeling within OMiLAB (PrOse 2017), Leuven, Belgium, 22 November 2017 (2017)
Janssens, L., De Smedt, J., Vanthienen, J.: Modeling and enacting enterprise decisions. In: Krogstie, J., Mouratidis, H., Su, J. (eds.) CAiSE 2016. LNBIP, vol. 249, pp. 169–180. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39564-7_17
Horita, F.E., de Albuquerque, J.P., Marchezini, V., Mendiondo, E.M.: Bridging the gap between decision-making and emerging big data sources: an application of a model-based framework to disaster management in brazil. Decis. Support Syst. 97, 12–22 (2017)
Horita, F.E.A., Link, D., de Albuquerque, J.P., Hellingrath, B.: oDMN: an integrated model to connect decision-making needs to emerging data sources in disaster management. In: 2016 49th Hawaii International Conference on System Sciences (HICSS), pp. 2882–2891. IEEE (2016)
Perez-Alvarez, J.M., Gomez-Lopez, M.T., Parody, L., Gasca, R.M.: Process instance query language to include process performance indicators in DMN. In: 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW), pp. 1–8. IEEE (2016)
Mertens, S., Gailly, F., Poels, G.: Enhancing declarative process models with DMN decision logic. In: Gaaloul, K., Schmidt, R., Nurcan, S., Guerreiro, S., Ma, Q. (eds.) CAISE 2015. LNBIP, vol. 214, pp. 151–165. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19237-6_10
Hasić, F., De Smedt, J., Vanthienen, J.: A service-oriented architecture design of decision-aware information systems: decision as a service. In: Panetto, H., et al. (eds.) OTM 2017. LNCS, vol. 10573, pp. 353–361. Springer, Cham (2017)
Hasić, F., De Smedt, J., Vanthienen, J.: Developing a modelling and mining framework for integrated processes and decisions. In: Debruyne, C., Panetto, H., Weichhart, G., Bollen, P., Ciuciu, I., Vidal, M.-E., Meersman, R. (eds.) OTM 2017. LNCS, vol. 10697, pp. 259–269. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-73805-5_28
Ortner, E., Mevius, M., Wiedmann, P., Kurz, F.: Design of interactional decision support applications for e-participation in smart cities. Int. J. Electron. Gov. Res. (IJEGR) 12(2), 18–38 (2016)
Griesinger, F., Seybold, D., Domaschka, J., Kritikos, K., Woitsch, R.: A DMN-based approach for dynamic deployment modelling of cloud applications. In: Lazovik, A., Schulte, S. (eds.) ESOCC 2016. CCIS, vol. 707, pp. 104–111. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-72125-5_8
Ghlala, R., Kodia Aouina, Z., Ben Said, L.: MC-DMN: Meeting MCDM with DMN involving multi-criteria decision-making in business process. In: Gervasi, O., et al. (eds.) ICCSA 2017. LNCS, vol. 10409, pp. 3–16. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-62407-5_1
Abdelsalam, H.M., Shoaeb, A.R., Elassal, M.M.: Enhancing Decision Model Notation (DMN) for better use in Business Analytics (BA). In: Proceedings of the 10th International Conference on Informatics and Systems, pp. 321–322. ACM (2016)
Batoulis, K., Meyer, A., Bazhenova, E., Decker, G., Weske, M.: Extracting decision logic from process models. In: Zdravkovic, J., Kirikova, M., Johannesson, P. (eds.) CAiSE 2015. LNCS, vol. 9097, pp. 349–366. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19069-3_22
Bazhenova, E., Zerbato, F., Weske, M.: Data-centric extraction of DMN Decision Models from BPMN process models. In: Teniente, E., Weidlich, M. (eds.) BPM 2017. LNBIP, vol. 308, pp. 542–555. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74030-0_43
Paschke, A., Könnecke, S.: A RuleML - DMN translator. In: RuleML (Supplement) (2016)
Bazhenova, E., Weske, M.: Deriving decision models from process models by enhanced decision mining. In: Reichert, M., Reijers, H.A. (eds.) BPM 2015. LNBIP, vol. 256, pp. 444–457. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42887-1_36
Bazhenova, E., Buelow, S., Weske, M.: Discovering decision models from event logs. In: Abramowicz, W., Alt, R., Franczyk, B. (eds.) BIS 2016. LNBIP, vol. 255, pp. 237–251. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39426-8_19
De Smedt, J., van den Broucke, S.K.L.M., Obregon, J., Kim, A., Jung, J.-Y., Vanthienen, J.: Decision mining in a broader context: an overview of the current landscape and future directions. In: Dumas, M., Fantinato, M. (eds.) BPM 2016. LNBIP, vol. 281, pp. 197–207. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-58457-7_15
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
Mannhardt, F., de Leoni, M., Reijers, H.A., van der Aalst, W.M.P.: Decision mining revisited - discovering overlapping rules. In: Nurcan, S., Soffer, P., Bajec, M., Eder, J. (eds.) CAiSE 2016. LNCS, vol. 9694, pp. 377–392. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39696-5_23
Kluza, K., Wiśniewski, P., Jobczyk, K., Ligęza, A., Mroczek, A.S.: Comparison of selected modeling notations for process, decision and system modeling. In: 2017 Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1095–1098. IEEE (2017)
Ochoa, L., González-Rojas, O.: Analysis and re-configuration of decision logic in adaptive and data-intensive processes (short paper). In: Panetto, H., et al. (eds.) OTM 2017. LNCS, vol. 10573, pp. 306–313. Springer, Cham (2017)
Figl, K., Mendling, J., Tokdemir, G., Vanthienen, J.: What we know and what we do not know about DMN. Enterp. Modell. Inf. Syst. Architect. 13, 1–2 (2018)
Hasic, F., De Smedt, J., Vanthienen, J.: Towards assessing the theoretical complexity of the Decision Model and Notation (DMN). In: Joint Proceedings of the Radar tracks at the 18th BPMDS, the 22nd EMMSAD, and the 8th EMISA workshop, Essen, Germany, June 12–13, 2017. (2017) 64–71
Bock, A.: How modeling language shapes decisions: problem-theoretical arguments and illustration of an example case. In: Schmidt, R., Guédria, W., Bider, I., Guerreiro, S. (eds.) BPMDS/EMMSAD -2016. LNBIP, vol. 248, pp. 383–398. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39429-9_24
Hasić, F., Devadder, L., Dochez, M., Hanot, J., De Smedt, J., Vanthienen, J.: Challenges in refactoring processes to include decision modelling. In: Teniente, E., Weidlich, M. (eds.) BPM 2017. LNBIP, vol. 308, pp. 529–541. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74030-0_42
Batoulis, K., Nesterenko, A., Repitsch, G., Weske, M.: Decision management in the insurance industry: standards and tools. In: Proceedings of the BPM 2017 Industry Track co-located with the 15th International Conference on Business Process Management (BPM 2017), Barcelona, Spain, 10–15 September 2017, pp. 52–63 (2017)
Laurson, Ü., Maggi, F.M.: A tool for the analysis of DMN decision tables. In: BPM (Demos), pp. 56–60 (2016)
Batoulis, K., Weske, M.: A tool for checking soundness of decision-aware business processes. In: BPM (Demos). CEUR-WS.org (2017)
Cánovas-Segura, B., et al.: A decision support visualization tool for infection management based on BMPN and DMN. In: Valencia-García, R., et al. (eds.) CITI 2017. CCIS, pp. 158–168. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67283-0_12
Ghlala, R., Aouina, Z.K., Said, L.B.: Decision-making harmonization in business process: using NoSQL databases for decision rules modelling and serialization. In: 2016 4th International Conference on Control Engineering & Information Technology (CEIT), pp. 1–6. IEEE (2016)
Proctor, M., Tirelli, E., Sottara, D., Silver, B., Feldman, J., Gauthier, M.: The effectiveness of DMN portability. In: Proceedings of the Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters @ RuleML+RR 2017, London, UK, 11–15 July 2017 (2017)
Pufahl, L., Wong, T.Y., Weske, M.: Design of an extensible BPMN process simulator. In: Teniente, E., Weidlich, M. (eds.) BPM 2017. LNBIP, vol. 308, pp. 782–795. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74030-0_62
Nikaj, A., Batoulis, K., Weske, M.: REST-enabled decision making in business process choreographies. In: Sheng, Q.Z., Stroulia, E., Tata, S., Bhiri, S. (eds.) ICSOC 2016. LNCS, vol. 9936, pp. 547–554. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46295-0_34
Pufahl, L., Mandal, S., Batoulis, K., Weske, M.: Re-evaluation of decisions based on events. In: Reinhartz-Berger, I., Gulden, J., Nurcan, S., Guédria, W., Bera, P. (eds.) BPMDS/EMMSAD -2017. LNBIP, vol. 287, pp. 68–84. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59466-8_5
Dasseville, I., Janssens, L., Janssens, G., Vanthienen, J., Denecker, M.: Combining DMN and the knowledge base paradigm for flexible decision enactment. In: RuleML 2016 Supplementary Proceedings. New York, USA, 6–9 July 2016 (2016)
Bazhenova, E., Weske, M.: Optimal acquisition of input data for decision taking in business processes. In: Proceedings of the Symposium on Applied Computing, pp. 703–710. ACM (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Kluza, K., Adrian, W.T., Wiśniewski, P., Ligęza, A. (2019). Understanding Decision Model and Notation: DMN Research Directions and Trends. In: Douligeris, C., Karagiannis, D., Apostolou, D. (eds) Knowledge Science, Engineering and Management. KSEM 2019. Lecture Notes in Computer Science(), vol 11775. Springer, Cham. https://doi.org/10.1007/978-3-030-29551-6_69
Download citation
DOI: https://doi.org/10.1007/978-3-030-29551-6_69
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29550-9
Online ISBN: 978-3-030-29551-6
eBook Packages: Computer ScienceComputer Science (R0)