Skip to main content
SpringerLink
Log in
Book cover

International Conference on Business Process Management

BPM 2016: Business Process Management pp 189–197Cite as

Context-Sensitive Textual Recommendations for Incomplete Process Model Elements

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9253))

Abstract

Many organizations manage repositories of several thousand process models. It has been observed that a lot of these models have quality issues. For the model collections we have worked with, we found that every third model contains elements with incomplete element names. While prior research has proposed techniques to close gaps on the structural level, approaches that address the naming of incompletely specified model elements are missing. In this paper, we propose three strategies for naming process elements and a context-sensitive ranking to present the most relevant naming recommendations to the user. We prototypically implemented our approach and conducted an extensive user experiment with real-world process models in order to assess the usefulness of the recommendations. The results show that our approach fulfills its purpose and creates meaningful recommendations.

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   39.99
Price excludes VAT (USA)
  • Available as 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sinur, J., Hill, J.B.: Magic quadrant for business process management suites. Gartner RAS Core Research Note, 1–24 (2010)

    Google Scholar 

  2. Krogstie, J., Sindre, G.: Jørgensen, H.: Process models representing knowledge for action: a revised quality framework. Eur. J. Inf. Syst. 15(1), 91–102 (2006)

    Article  Google Scholar 

  3. Davenport, T.H., Short, J.E.: The new industrial engineering: Information technology and business process redesign. Sloan Mgmt. Review 31(4), 11–27 (1990)

    Google Scholar 

  4. Dumas, M., Van der Aalst, W.M., Ter Hofstede, A.H.: Process-aware information systems: bridging people and software through process technology. Wiley (2005)

    Google Scholar 

  5. Mendling, J.: Empirical Studies in Process Model Verification. In: Jensen, K., van der Aalst, W.M.P. (eds.) Transactions on Petri Nets and Other Models of Concurrency II. LNCS, vol. 5460, pp. 208–224. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  6. Mendling, J., Leopold, H., Pittke, F.: 25 challenges of semantic process modeling. Int. Journal of Inf. Systems and Software Eng. for Big Companies 1(1), 78–94 (2015)

    Google Scholar 

  7. Kluza, K., Baran, M., Bobek, S., Nalepa, G.J.: Overview of recommendation techniques in business process modeling. Knowledge Eng. and Software Eng., 46–57 (2013)

    Google Scholar 

  8. Clever, N., Holler, J., Shitkova, M., Becker, J.: Towards auto-suggested process modeling-prototypical development of an auto-suggest component for process modeling tools. In: EMISA, pp. 133–145 (2013)

    Google Scholar 

  9. Koschmider, A., Oberweis, A.: Recommendation-based business processes design. In: Handbook on Business Process Management 1. Springer, pp. 323–336 (2015)

    Google Scholar 

  10. Rosemann, M.: Potential Pitfalls of Process Modeling: Part A. Business Process Management Journal 12(2), 249–254 (2006)

    Article  Google Scholar 

  11. Leopold, H., Eid-Sabbagh, R.H., Mendling, J., Azevedo, L.G., Baião, F.A.: Detection of naming convention violations in process models for different languages. Decision Support Systems 56, 310–325 (2013)

    Article  Google Scholar 

  12. Leopold, H., Mendling, J., Reijers, H.A., La Rosa, M.: Simplifying process model abstraction: Techniques for generating model names. Inf. Sys. 39, 134–151 (2014)

    Article  MATH  Google Scholar 

  13. Keller, G., Teufel, T.: SAP(R) R/3 Process Oriented Implementation: Iterative Process Prototyping. Addison-Wesley (1998)

    Google Scholar 

  14. Mendling, J., Reijers, H.A., van der Aalst, W.M.P.: Seven Process Modeling Guidelines (7PMG). Information and Software Technology 52(2), 127–136 (2010)

    Article  Google Scholar 

  15. Mendling, J., Reijers, H.A., Recker, J.: Activity Labeling in Process Modeling: Empirical Insights and Recommendations. Inf. Sys. 35(4), 467–482 (2010)

    Article  Google Scholar 

  16. Gordijn, J., Akkermans, H., van Vliet, H.: Business modelling is not process modelling. In: Mayr, H.C., Liddle, S.W., Thalheim, B. (eds.) ER Workshops 2000. LNCS, vol. 1921, pp. 40–51. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  17. Barjis, J.: The importance of business process modeling in software systems design. Science of Computer Programming 71(1), 73–87 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  18. del Olmo, F.H., Gaudioso, E.: Evaluation of recommender systems: A new approach. Expert Systems with Applications 35(3), 790–804 (2008)

    Article  Google Scholar 

  19. Richetti, P.H.P., Baião, F.A., Santoro, F.M.: Declarative process mining: reducing discovered models complexity by pre-processing event logs. In: Sadiq, S., Soffer, P., Völzer, H. (eds.) BPM 2014. LNCS, vol. 8659, pp. 400–407. Springer, Heidelberg (2014)

    Google Scholar 

  20. Bracewell, D.B., Russell, S., Wu, A.S.: Identification, expansion, and disambiguation of acronyms in biomedical texts. In: Chen, G., Pan, Y., Guo, M., Lu, J. (eds.) ISPA-WS 2005. LNCS, vol. 3759, pp. 186–195. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  21. Lin, D.: An information-theoretic definition of similarity. ICML 98, 296–304 (1998)

    Google Scholar 

  22. Piegorsch, W.W.: Sample sizes for improved binomial confidence intervals. Computational Statistics & Data Analysis 46(2), 309–316 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  23. Hornung, T., Koschmider, A., Oberweis, A.: A recommender system for business process models. In: Workshop on Information Technologies & Systems (2009)

    Google Scholar 

  24. Hornung, T., Koschmider, A., Oberweis, A.: Rule-based autocompletion of business process models. In: CAiSE Forum, vol. 247 (2007)

    Google Scholar 

  25. Markovic, I., Pereira, A.C.: Towards a formal framework for reuse in business process modeling. In: ter Hofstede, A.H.M., Benatallah, B., Paik, H.-Y. (eds.) BPM Workshops 2007. LNCS, vol. 4928, pp. 484–495. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  26. Hornung, T., Koschmider, A., Lausen, G.: Recommendation based process modeling support: method and user experience. In: Li, Q., Spaccapietra, S., Yu, E., Olivé, A. (eds.) ER 2008. LNCS, vol. 5231, pp. 265–278. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  27. Bobek, S., Baran, M., Kluza, K., Nalepa, G.J.: Application of bayesian networks to recommendations in business process modeling. In: AIBP@ AI* IA, pp. 41–50 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Information Business, WU Vienna, Austria

    Fabian Pittke & Jan Mendling

  2. Department of Applied Informatics, Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil

    Pedro H. Piccoli Richetti & Fernanda Araujo Baião

Authors
  1. Fabian Pittke
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pedro H. Piccoli Richetti
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jan Mendling
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fernanda Araujo Baião
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Fabian Pittke .

Editor information

Editors and Affiliations

  1. IBM Almaden Research Center, San Jose, California, USA

    Hamid Reza Motahari-Nezhad

  2. Queensland University, Brisbane, Queensland, Australia

    Jan Recker

  3. Humboldt-Universität zu Berlin, Berlin, Germany

    Matthias Weidlich

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Pittke, F., Richetti, P.H.P., Mendling, J., Baião, F.A. (2015). Context-Sensitive Textual Recommendations for Incomplete Process Model Elements. In: Motahari-Nezhad, H., Recker, J., Weidlich, M. (eds) Business Process Management. BPM 2016. Lecture Notes in Computer Science(), vol 9253. Springer, Cham. https://doi.org/10.1007/978-3-319-23063-4_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-23063-4_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23062-7

  • Online ISBN: 978-3-319-23063-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation