Model Checking Workflow Monitors and Its Application to a Pain Management Process

  • Fazle Rabbi
  • Ahmed Shah Mashiyat
  • Wendy MacCaull
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7151)

Abstract

Safety critical systems often consist of many complex processes. Monitoring the behaviour of such processes is critical for enforcing policies, and achieving efficiency and reliability goals. The paper presents a new graphical language for modeling monitors for time constrained workflow processes. To ensure the correctness of a monitor system, we present a model checking approach for verification. We provide an automated data aware translation from a monitor model and its associated workflow to DVE, the input language of the DiVinE model checker, reducing the time and effort required for model checking. We prove the correctness of the translation and give a detailed case study involving LTL properties for a compensable healthcare workflow with time constraints and monitors.

Keywords

Model Check Green Transition Global Clock Safety Critical System Virtual Transition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    DiVinE project, http://divine.fi.muni.cz/ (last accessed on November 2010)
  2. 2.
    Beeri, C., Eyal, A., Milo, T., Pilberg, A.: Query-based monitoring of BPEL business processes. In: Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data, SIGMOD 2007, pp. 1122–1124. ACM, New York (2007)CrossRefGoogle Scholar
  3. 3.
    Bengtsson, J., Larsen, K.G., Larsson, F., Pettersson, P., Yi, W.: Uppaal — a Tool Suite for Automatic Verification of Real–Time Systems. In: Alur, R., Sontag, E.D., Henzinger, T.A. (eds.) HS 1995. LNCS, vol. 1066, pp. 232–243. Springer, Heidelberg (1996)CrossRefGoogle Scholar
  4. 4.
    Berthomieu, B., Diaz, M.: Modeling and verification of time dependent systems using time Petri nets. IEEE Trans. Softw. Eng. 17, 259–273 (1991)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Berthomieu, B., Vernadat, F.: Time petri nets analysis with TINA. In: Proceedings of the 3rd International Conference on the Quantitative Evaluation of Systems, pp. 123–124. IEEE Computer Society, Washington, DC (2006)Google Scholar
  6. 6.
    Bertolini, C., Liu, Z., Schaf, M., Stolz, V.: Towards a formal integrated model of collaborative healthcare workflows. UNU-IIST Report No. 450 (June 2011)Google Scholar
  7. 7.
    Broadfield, L., Banerjee, S., Jewers, H., Pollett, A., Simpson, J.: Guidelines for the management of cancer-related pain in adults. Supportive Care Cancer Site Team, Cancer Care Nova Scotia (2005)Google Scholar
  8. 8.
    Lime, D., Roux, O.H., Seidner, C., Traonouez, L.-M.: Romeo: A Parametric Model-Checker for Petri Nets with Stopwatches. In: Kowalewski, S., Philippou, A. (eds.) TACAS 2009. LNCS, vol. 5505, pp. 54–57. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  9. 9.
    Kokash, N., Krause, C., de Vink, E.P.: Time and data-aware analysis of graphical service models in Reo. In: Fiadeiro, J.L., Gnesi, S., Maggiolo-Schettini, A. (eds.) SEFM, pp. 125–134. IEEE Computer Society (2010)Google Scholar
  10. 10.
    Lamport, L.: Real-Time Model Checking Is Really Simple. In: Borrione, D., Paul, W. (eds.) CHARME 2005. LNCS, vol. 3725, pp. 162–175. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  11. 11.
    Li, J., Zhu, H., Pu, G., He, J.: A formal model for compensable transactions. In: Proceedings of the 12th IEEE International Conference on Engineering Complex Computer Systems, pp. 64–73. IEEE Computer Society, Washington, DC (2007)Google Scholar
  12. 12.
    MacCaull, W., Rabbi, F.: NOVA Workflow: A workflow management tool targeting health services delivery. In: International Symposium on Foundations of Health Information Engineering and Systems, FHIES 2011, Johannesburg, South Africa, pp. 74–91 (2011)Google Scholar
  13. 13.
    Mashiyat, A.S., Rabbi, F., MacCaull, W.: Modeling and Verifying Timed Compensable Workflows and an Application to Health Care. In: Salaün, G., Schätz, B. (eds.) FMICS 2011. LNCS, vol. 6959, pp. 244–259. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  14. 14.
    Moreno, A., Valls, A., Riaño, D.: Palliasys: agent-based proactive monitoring of palliative patients. In: IWPAAMS (2005)Google Scholar
  15. 15.
    Muehlen, M.Z., Rosemann, M.: Workflow-based process monitoring and controlling - technical and organizational issues. In: Proceedings of the 33rd Hawaii International Conference on System Science (HICSS-33), pp. 1–10. IEEE Computer Society Press (2000)Google Scholar
  16. 16.
    Rabbi, F., Wang, H., MacCaull, W.: Compensable WorkFlow Nets. In: Dong, J.S., Zhu, H. (eds.) ICFEM 2010. LNCS, vol. 6447, pp. 122–137. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  17. 17.
    Simmonds, J., Ben-David, S., Chechik, M.: Guided recovery for web service applications. In: Proceedings of the ACM SIGSOFT International Symposium on Foundations of Software Engineering, FSE 2010, pp. 247–256. ACM, New York (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fazle Rabbi
    • 1
  • Ahmed Shah Mashiyat
    • 1
  • Wendy MacCaull
    • 1
  1. 1.Centre for Logic and InformationSt. Francis Xavier UniversityCanada

Personalised recommendations