Skip to main content
SpringerLink
Log in

Improving Business Process Model after Reverse Engineering

  • Conference paper
Evaluation of Novel Approaches to Software Engineering (ENASE 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 417))

Abstract

An appropriate business process management helps companies to quickly adapt to changes while their competitiveness is maintained or even improved. For this reason, business process models are recognized as being important assets for companies and companies are currently demanding mechanisms to ensure business processes with an appropriate quality degree. These business process models can be mined by reverse engineering from existing information systems. Regrettably, these reversed models usually have a lower quality degree and may not exactly reflect the actual business processes. This paper describes detected common problems in business processes retrieved by reverse engineering (e.g., missing, fine-grained or non-relevant elements, ambiguities, etc.). Refactoring is widely-used to fix quality problems in business process models. Despite this, this work suggests addressing the above problems by defining three stages: repairing, refactoring and expert-based improvement. Additionally, some preliminary results from refactoring stage are provided using real-life retrieved business process models.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Weske, M.: Business Process Management: Concepts, Languages, Architectures, Leipzig, Germany, p. 368. Springer, Heidelberg (2007)

    Google Scholar 

  2. Jeston, J., Nelis, J., Davenport, T.: Business Process Management: Practical Guidelines to Successful Implementations, 2nd edn. Butterworth-Heinemann (Elsevier Ltd.), NV (2008)

    Google Scholar 

  3. OMG. Business Process Modeling Notation Specification 2.0 (2011), http://www.omg.org/spec/BPMN/2.0/PDF/

  4. Pérez-Castillo, R., et al.: MARBLE. A Business Process Archeology Tool. In: 27th IEEE International Conference on Software Maintenance (ICSM 2011), Williamsburg, VI, pp. 578–581 (2011)

    Google Scholar 

  5. Fernández-Ropero, M., Pérez-Castillo, R., Piattini, M.: Refactoring Business Process Models: A Systematic Review. In: Filipe, J., Maciaszek, L. (eds.) 7th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE), pp. 140–145. SciTePress, Wrocław (2012)

    Google Scholar 

  6. van der Aalst, W.: Process Mining: Overview and Opportunities. ACM Transactions on Management Information Systems (TMIS) 3(2), 7 (2012)

    Google Scholar 

  7. Indulska, M., Recker, J., Rosemann, M., Green, P.: Business process modeling: Current issues and future challenges. In: van Eck, P., Gordijn, J., Wieringa, R. (eds.) CAiSE 2009. LNCS, vol. 5565, pp. 501–514. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  8. Fahland, D., van der Aalst, W.M.P.: Repairing Process Models to Reflect Reality (2012)

    Google Scholar 

  9. Weber, B., Reichert, M.: Refactoring Process Models in Large Process Repositories. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 124–139. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  10. Dijkman, R., Rosa, M.L., Reijers, H.A.: Managing large collections of business process models—Current techniques and challenges. Computers in Industry 63(2), 91 (2012)

    Article  Google Scholar 

  11. Weber, B., et al.: Survey paper: Refactoring large process model repositories. Comput. Ind. 62(5), 467–486 (2011)

    Article  Google Scholar 

  12. Dijkman, R., et al.: Identifying refactoring opportunities in process model repositories. Information and Software Technology (2011)

    Google Scholar 

  13. La Rosa, M., et al.: Managing process model complexity via abstract syntax modifications. IEEE Transactions on Industrial Informatics 7(4), 614–629 (2011)

    Article  MathSciNet  Google Scholar 

  14. Uba, R., Dumas, M., García-Bañuelos, L., La Rosa, M.: Clone detection in repositories of business process models. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 248–264. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  15. Ekanayake, C.C., Dumas, M., García-Bañuelos, L., La Rosa, M., ter Hofstede, A.H.M.: Approximate clone detection in repositories of business process models. In: Barros, A., Gal, A., Kindler, E. (eds.) BPM 2012. LNCS, vol. 7481, pp. 302–318. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  16. Pittke, F., Leopold, H., Mendling, J.: Spotting Terminology Deficiencies in Process Model Repositories. In: Nurcan, S., Proper, H.A., Soffer, P., Krogstie, J., Schmidt, R., Halpin, T., Bider, I. (eds.) BPMDS 2013 and EMMSAD 2013. LNBIP, vol. 147, pp. 292–307. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  17. Smirnov, S., Weidlich, M., Mendling, J.: Business process model abstraction based on synthesis from well-structured behavioral profiles. International Journal of Cooperative Information Systems 21(1), 55–83 (2012)

    Article  Google Scholar 

  18. Smirnov, S., Reijers, H.A., Weske, M.: A semantic approach for business process model abstraction. In: Mouratidis, H., Rolland, C. (eds.) CAiSE 2011. LNCS, vol. 6741, pp. 497–511. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  19. Polyvyanyy, A., Smirnov, S., Weske, M.: Business process model abstraction. In: Handbook on Business Process Management, vol. 1, pp. 149–166 (2010)

    Google Scholar 

  20. Smirnov, S.: Business process model abstraction, Universitätsbibliothek (2012)

    Google Scholar 

  21. Pérez-Castillo, R., et al.: A family of case studies on business process mining using MARBLE. Journal of Systems and Software 85(6), 1370–1385 (2012)

    Article  Google Scholar 

  22. Overhage, S., Birkmeier, D.Q., Schlauderer, S.: Quality Marks, Metrics, and Measurement Procedures for Business Process Models. Business & Information Systems Engineering, 1–18 (2012)

    Google Scholar 

  23. Pérez-Castillo, R., et al.: Generating Event Logs from Non-Process-Aware Systems Enabling Business Process Mining. Enterprise Information System Journal 5(3), 301–335 (2011)

    Article  Google Scholar 

  24. Zou, Y., Hung, M.: An Approach for Extracting Workflows from E-Commerce Applications. In: Proceedings of the Fourteenth International Conference on Program Comprehension 2006, pp. 127–136. IEEE Computer Society (2006)

    Google Scholar 

  25. Binkley, D., et al.: To camelcase or under_score. IEEE (2009)

    Google Scholar 

  26. Fernández-Ropero, M., Reijers, H.A., Pérez-Castillo, R., Piattini, M.: Repairing Business Process Models as Retrieved from Source Code. In: Nurcan, S., Proper, H.A., Soffer, P., Krogstie, J., Schmidt, R., Halpin, T., Bider, I. (eds.) BPMDS 2013 and EMMSAD 2013. LNBIP, vol. 147, pp. 94–108. Springer, Heidelberg (2013)

    Google Scholar 

  27. Fernández-Ropero, M., et al.: Assessing the Best-Order for Business Process Model Refactoring. In: 28th Symposium On Applied Computing (SAC), Coimbra, Portugal, pp. 1400–1406 (2013)

    Google Scholar 

  28. Fernández-Ropero, M., et al.: Quality-Driven Business Process Refactoring. In: International Conference on Business Information Systems (ICBIS), Paris, France, pp. 960–966 (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Instituto de Tecnologías y Sistemas de la Información, University of Castilla-La Mancha, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    María Fernández-Ropero, Ricardo Pérez-Castillo & Mario Piattini

Authors
  1. María Fernández-Ropero
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ricardo Pérez-Castillo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mario Piattini
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. INSTICC and IPS, Estefanilha, Setúbal, Portugal

    Joaquim Filipe

  2. Department of Computing, Macquarie University, 2109,, Sydney, NSW, Australia

    Leszek A. Maciaszek

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Fernández-Ropero, M., Pérez-Castillo, R., Piattini, M. (2013). Improving Business Process Model after Reverse Engineering. In: Filipe, J., Maciaszek, L.A. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2013. Communications in Computer and Information Science, vol 417. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54092-9_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-54092-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54091-2

  • Online ISBN: 978-3-642-54092-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation