Abstract
Process mining can be seen as the “missing link” between data mining and business process management. Although nowadays, in the context of process mining, process discovery attracts the lion’s share of attention, conformance checking is at least as important. Conformance checking techniques verify whether the observed behavior recorded in an event log matches a modeled behavior. This type of analysis is crucial, because often real process executions deviate from the predefined process models. Although there exist solid conformance checking techniques for procedural models, little work has been done to adequately support conformance checking for declarative models. Typically, traces are classified as fitting or non-fitting without providing any detailed diagnostics. This paper aligns event logs and declarative models, i.e., events in the log are related to activities in the model if possible. The alignment provides then sophisticated diagnostics that pinpoint where deviations occur and how severe they are. The approach has been implemented in ProM and has been evaluated using both synthetic logs and real-life logs from Dutch municipalities.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
van der Aalst, W.M.P., de Beer, H.T., van Dongen, B.F.: Process Mining and Verification of Properties: An Approach Based on Temporal Logic. In: Meersman, R., Tari, Z. (eds.) CoopIS/DOA/ODBASE 2005. LNCS, vol. 3760, pp. 130–147. Springer, Heidelberg (2005)
van der Aalst, W.M.P., Pesic, M., Schonenberg, H.: Declarative Workflows: Balancing Between Flexibility and Support. Computer Science - R&D, 99–113 (2009)
van der Aalst, W.M.P.: Process Mining - Discovery, Conformance and Enhancement of Business Processes. Springer (2011)
van der Aalst, W.M.P., Adriansyah, A., van Dongen, B.F.: Replaying history on process models for conformance checking and performance analysis. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2(2), 182–192 (2012)
Adriansyah, A., van Dongen, B.F., van der Aalst, W.M.P.: Conformance Checking Using Cost-Based Fitness Analysis. In: IEEE International Enterprise Distributed Object Computing Conference, pp. 55–64. IEEE Computer Society (2011)
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)
Bauer, A., Leucker, M., Schallhart, C.: Runtime Verification for LTL and TLTL. ACM Transactions on Software Engineering and Methodology (2011)
Dechter, R., Pearl, J.: Generalized best-first search strategies and the optimality of A*. Journal of the ACM (JACM) 32, 505–536 (1985)
Governatori, G., Milosevic, Z., Sadiq, S.W.: Compliance Checking Between Business Processes and Business Contracts. In: Proceedings of the 10th IEEE International Enterprise Distributed Object Computing Conference, pp. 221–232. IEEE Computer Society (2006)
Greco, G., Guzzo, A., Pontieri, L., Sacca, D.: Discovering expressive process models by clustering log traces. IEEE Trans. on Knowl. and Data Eng. 18(8), 1010–1027 (2006)
Hulstijn, J., Gordijn, J.: Risk analysis for inter-organizational controls. In: Proceedings of the 12th International Conference on Enterprise Information Systems. SciTePress (2010)
de Leoni, M., van der Aalst, W.M.P., van Dongen, B.F.: Data- and Resource-Aware Conformance Checking of Business Processes. In: Abramowicz, W., Kriksciuniene, D., Sakalauskas, V. (eds.) BIS 2012. LNBIP, vol. 117, pp. 48–59. Springer, Heidelberg (2012)
Maggi, F.M., Bose, R.P.J.C., van der Aalst, W.M.P.: Efficient Discovery of Understandable Declarative Process Models from Event Logs. In: Ralyté, J., Franch, X., Brinkkemper, S., Wrycza, S. (eds.) CAiSE 2012. LNCS, vol. 7328, pp. 270–285. Springer, Heidelberg (2012)
Maggi, F.M., Mooij, A.J., van der Aalst, W.M.P.: User-guided discovery of declarative process models. In: Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2011, pp. 192–199. IEEE (2011)
Munoz-Gama, J., Carmona, J.: Enhancing precision in process conformance: Stability, confidence and severity. In: IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011), pp. 184–191 (April 2011)
Rozinat, A., van der Aalst, W.M.P.: Conformance Checking of Processes Based on Monitoring Real Behavior. Information Systems 33(1), 64–95 (2008)
Vasarhelyi, M., Alles, M., Kogan, A.: Principles of Analytic Monitoring for Continuous Assurance. Journal of Emerging Technologies in Accounting 1(1), 1–21 (2004)
Verbeek, H.M.W., Buijs, J.C.A.M., van Dongen, B.F., van der Aalst, W.M.P.: XES, xESame, and proM 6. In: Soffer, P., Proper, E. (eds.) CAiSE Forum 2010. LNBIP, vol. 72, pp. 60–75. Springer, Heidelberg (2011)
Westergaard, M.: Better Algorithms for Analyzing and Enacting Declarative Workflow Languages Using LTL. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds.) BPM 2011. LNCS, vol. 6896, pp. 83–98. Springer, Heidelberg (2011)
Westergaard, M., Maggi, F.M.: Declare: A tool suite for declarative workflow modeling and enactment. CEUR Workshop Proceedings, vol. 820. CEUR-WS.org (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
de Leoni, M., Maggi, F.M., van der Aalst, W.M.P. (2012). Aligning Event Logs and Declarative Process Models for Conformance Checking. In: Barros, A., Gal, A., Kindler, E. (eds) Business Process Management. BPM 2012. Lecture Notes in Computer Science, vol 7481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32885-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-32885-5_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32884-8
Online ISBN: 978-3-642-32885-5
eBook Packages: Computer ScienceComputer Science (R0)