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Diagnosing Industrial Business Processes: Early Experiences

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FM 2014: Formal Methods (FM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8442))

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Abstract

Modern day enterprises rely on streamlined business processes for their smooth operation. However, lot of these processes contain errors, many of which are control flow related, e.g., deadlock and lack of synchronization. This can provide hindrance to downstream analysis like correct simulation, code generation etc. For real-life process models other kind of errors are quite common, - these are syntactic errors which arise due to poor modeling practices. Detecting and identifying the location of occurrence of errors are equally important for correct modeling of business processes. We consider industrial business processes modeled in Business Process Modeling Notation (BPMN) and use graph-theoretic techniques and Petri net-based analyses to detect syntactic and control flow related errors respectively. Subsequently based on this, we diagnose different types of errors. We are further able to discover how error frequencies change with error depth and how they correlate with the size of the subprocesses and swim-lane interactions in the models. Such diagnostic details are vital for business process designers to detect, identify and rectify errors in their models.

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References

  1. Awad, A., Decker, G., Weske, M.: Efficient compliance checking using BPMN-Q and temporal logic. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 326–341. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  2. Cohen, J.: Statistical Power Analysis for the Behavioral Sciences. Lawrence Erlbaum, Hillsdale (1988)

    MATH  Google Scholar 

  3. Dijkman, R.M., Dumas, M., Ouyang, C.: Semantics and analysis of business process models in BPMN. Inf. Softw. Technol. 50(12), 1281–1294 (2008)

    Article  Google Scholar 

  4. Fahland, D., Favre, C., Jobstmann, B., Koehler, J., Lohmann, N., Völzer, H., Wolf, K.: Analysis on demand: Instantaneous soundness checking of industrial business process models. Data Knowl. Eng. 70(5), 448–466 (2011); Also in Dayal, U., Eder, J., Koehler, J., Reijers, H.A. (eds.): BPM 2009. LNCS, vol. 5701. Springer, Heidelberg (2009)

    Google Scholar 

  5. Hauser, R., Friess, M., Küster, J.M., Vanhatalo, J.: Combining Analysis of Unstructured Workflows with Transformation to Structured Workflows. In: 10th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2006 (2006)

    Google Scholar 

  6. Kiepuszewski, B., ter Hofstede, A., van der Aalst, W.: Fundamentals of control flow in workflows. Acta Informatica 39, 143–209 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  7. Liu, R., Kumar, A.: An Analysis and Taxonomy of Unstructured Workflows. In: van der Aalst, W.M.P., Benatallah, B., Casati, F., Curbera, F. (eds.) BPM 2005. LNCS, vol. 3649, pp. 268–284. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  8. Mendling, J., Neumann, G., van der Aalst, W.: Understanding the Occurrence of Errors in Process Models Based on Metrics. In: Meersman, R., Tari, Z. (eds.) OTM 2007, Part I. LNCS, vol. 4803, pp. 113–130. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  9. Mendling, J., Verbeek, H.M.W., van Dongen, B.F., van der Aalst, W.M.P., Neumann, G.: Detection and prediction of errors in EPCs of the SAP reference model. Data Knowl. Eng. 64(1), 312–329 (2008)

    Article  Google Scholar 

  10. B. P. M. Object Management Group and Notation. Business Process Modeling Notation (BPMN) Version 2.0. OMG Final Adopted Specification (2011), http://www.omg.org/spec/BPMN/2.0/

  11. Roy, S., Bihary, S., Narayan Kumar, K.: Soundness checking of business processes using Petri Net-based techniques. Internal Report of Infosys (2012) (available on request)

    Google Scholar 

  12. Roy, S., Sajeev, A., Bihary, S., Ranjan, A.: An Empirical Study of Error Patterns in Industrial Business Process Models. IEEE Transactions of Service Computing (2013) (in press)

    Google Scholar 

  13. 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 

  14. van der Aalst, W.M.P.: The Application of Petri Nets to Workflow Management. Journal of Circuits, Systems, and Computers 8(1), 21–66 (1998)

    Article  Google Scholar 

  15. van der Aalst, W.M.P., Hirnschall, A., Verbeek, H.M.W.: An Alternative Way to Analyze Workflow Graphs. In: Pidduck, A.B., Mylopoulos, J., Woo, C.C., Ozsu, M.T. (eds.) CAISE 2002. LNCS, vol. 2348, pp. 535–552. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  16. Vanhatalo, J., Völzer, H., Koehler, J.: The Refined Process Structure Tree. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 100–115. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  17. Vanhatalo, J., Völzer, H., Leymann, F.: Faster and More Focused Control-Flow Analysis for Business Process Models Through SESE Decomposition. In: Krämer, B.J., Lin, K.-J., Narasimhan, P. (eds.) ICSOC 2007. LNCS, vol. 4749, pp. 43–55. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  18. Verbeek, H.M.W., Basten, T., van der Aalst, W.M.P.: Diagnosing Workflow Processes Using Woflan. The Computer Journal 44 (2001)

    Google Scholar 

  19. Verbeek, H.M.W., van der Aalst, W.M.P.: Woflan 2.0 - A Petri-Net-Based Workflow Diagnosis Tool. In: Nielsen, M., Simpson, D. (eds.) ICATPN 2000. LNCS, vol. 1825, pp. 475–484. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  20. Weber, I., Hoffman, J., Mendling, J.: Beyond Soundness: on the verification of semantic business process models. Distributed Parallel Databases 27, 271–343 (2010)

    Article  Google Scholar 

  21. Wolf, K.: Generating Petri Net state spaces. In: Kleijn, J., Yakovlev, A. (eds.) ICATPN 2007. LNCS, vol. 4546, pp. 29–42. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

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Roy, S., Sajeev, A.S.M., Sripathy, S. (2014). Diagnosing Industrial Business Processes: Early Experiences. In: Jones, C., Pihlajasaari, P., Sun, J. (eds) FM 2014: Formal Methods. FM 2014. Lecture Notes in Computer Science, vol 8442. Springer, Cham. https://doi.org/10.1007/978-3-319-06410-9_47

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  • DOI: https://doi.org/10.1007/978-3-319-06410-9_47

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06409-3

  • Online ISBN: 978-3-319-06410-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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