Skip to main content

CFS: A Behavioral Similarity Algorithm for Process Models Based on Complete Firing Sequences

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8841))

Abstract

Similarity measurement of process models is an indispensable task in business process management, which is widely used in many scenarios such as organizations merging, user requirements change and model repository management. This paper focuses on a behavioral process similarity algorithm named CFS based on complete firing sequences which are used to express model behavior. We propose a matching theme for two sets of complete firing sequences by A* algorithm with pruning strategy and define new similarity measure method. Experiments show that this method improves rationality than existing behavior-based similarity algorithms.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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. van der Aalst, W.M.P.: Business process management demystified: A tutorial on models, systems and standards for workflow management. In: Desel, J., Reisig, W., Rozenberg, G. (eds.) Lectures on Concurrency and Petri Nets. LNCS, vol. 3098, pp. 1–65. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  2. Becker, M., Laue, R.: A comparative survey of business process similarity measures. Computers in Industry 63(2), 148–167 (2012)

    Article  Google Scholar 

  3. Dumas, M., García-Bañuelos, L., Dijkman, R.M.: Similarity Search of Business Process Models. IEEE Computer Society Technical Committee on Data Engineering 32(3), 23–28 (2009)

    Google Scholar 

  4. Wang, J., He, T., Wen, L., Wu, N., ter Hofstede, A.H.M., Su, J.: A Behavioral Similarity Measure between Labeled Petri Nets Based on Principal Transition Sequences. In: Meersman, R., Dillon, T.S., Herrero, P. (eds.) OTM 2010. LNCS, vol. 6426, pp. 394–401. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  5. Zha, H., Wang, J., Wen, L., et al.: A workflow net similarity measure based on transition adjacency relations. Computers in Industry 61(5), 463–471 (2010)

    Article  Google Scholar 

  6. Kunze, M., Weidlich, M., Weske, M.: Behavioral similarity – A proper metric. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 166–181. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  7. Wang, S., Wen, L., Wang, J., et al.: SSDT-matrix based behavioral similarity algorithm for process models. In: The Third CBPM (2013)

    Google Scholar 

  8. Dijkman, R., Dumas, M., van Dongen, B., et al.: Similarity of business process models: metrics and evaluation. Information Systems 36(2), 498–516 (2011)

    Article  Google Scholar 

  9. Petri, C.A.: Kommunikation mit automaten [PhD]. Fachbereich Informatik of Universitat Hamburg (1962)

    Google Scholar 

  10. Van Der Aalst, W.M.P.: Verification of Workflow Nets. In: Azéma, P., Balbo, G. (eds.) ICATPN 1997. LNCS, vol. 1248, pp. 407–426. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  11. Gerke, K., Cardoso, J., Claus, A.: Measuring the compliance of processes with reference models. In: Meersman, R., Dillon, T., Herrero, P. (eds.) OTM 2009, Part I. LNCS, vol. 5870, pp. 76–93. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  12. Murata, T.: Petri nets: Properties, analysis and applications. Proceedings of the IEEE 77(4), 541–580 (1989)

    Article  Google Scholar 

  13. Hart, P.E., Nilsson, N.J., Raphael, B.: A Formal Basis for the Heuristic Determination of Minimum Cost Paths. Systems Science and Cybernetics 4(2), 100–107 (1968)

    Article  Google Scholar 

  14. Wu, N., Jin, T., Zha, H., et al.: BeehiveZ: an open framework for business process model management. Journal of Computer Research and Development 47(z1), 450–454 (2010)

    Google Scholar 

  15. Kunze, M., Weske, M.: Metric trees for efficient similarity search in large process model repositories. In: Muehlen, M.z., Su, J. (eds.) BPM 2010 Workshops. Lecture Notes in Business Information Processing, vol. 66, pp. 535–546. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dong, Z., Wen, L., Huang, H., Wang, J. (2014). CFS: A Behavioral Similarity Algorithm for Process Models Based on Complete Firing Sequences. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Conferences. OTM 2014. Lecture Notes in Computer Science, vol 8841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45563-0_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-45563-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45562-3

  • Online ISBN: 978-3-662-45563-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics