Abstract
Business processes are usually modeled at a high level of abstraction, while the analysis of their run-time behavior through process mining techniques is based on low-level events recorded in an event log. In this scenario, it is difficult to discover the relationship between the process model and the run-time behavior, and to check whether the model is actually a good representation for that behavior. In this work, we introduce an approach that is able to capture such relationship in a hierarchical model. In addition, through a combination of process mining and agent-based simulation, the approach supports the improvement of the process model so that it becomes a better representation for the behavior of agents in the process. For this purpose, the model is evaluated based on a set of metrics. We illustrate the approach in an application scenario involving a purchase process.
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References
OMG: Business Process Model and Notation (BPMN), Version 2.0 (2011)
Scheer, A.W.: ARIS: Business Process Modeling, 3rd edn. Springer (2000)
van der Aalst, W.M.P.: The application of Petri nets to workflow management. The Journal of Circuits, Systems and Computers 8(1), 21–66 (1998)
Weske, M.: Business Process Management: Concepts, Languages, Architectures. 2nd edn. Springer (2012)
van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer (2011)
Bonabeau, E.: Agent-based modeling: Methods and techniques for simulating human systems. PNAS 99(suppl. 3), 7280–7287 (2002)
Davidsson, P., Holmgren, J., Kyhlbäck, H., Mengistu, D., Persson, M.: Applications of agent based simulation. In: Antunes, L., Takadama, K. (eds.) MABS 2006. LNCS (LNAI), vol. 4442, pp. 15–27. Springer, Heidelberg (2007)
Railsback, S.F., Lytinen, S.L., Jackson, S.K.: Agent-based simulation platforms: Review and development recommendations. Simulation 82(9), 609–623 (2006)
Wagner, G.: AOR modelling and simulation: Towards a general architecture for agent-based discrete event simulation. In: Giorgini, P., Henderson-Sellers, B., Winikoff, M. (eds.) AOIS 2003. LNCS (LNAI), vol. 3030, pp. 174–188. Springer, Heidelberg (2004)
Ferreira, D.R., Szimanski, F., Ralha, C.G.: A hierarchical Markov model to understand the behaviour of agents in business processes. In: La Rosa, M., Soffer, P. (eds.) BPM 2012 Workshops. LNBIP, vol. 132, pp. 150–161. Springer, Heidelberg (2013)
Mendling, J.: Metrics for Process Models. LNBIP, vol. 6. Springer, Heidelberg (2009)
Vanderfeesten, I., Cardoso, J., Mendling, J., Reijers, H.A., van der Aalst, W.M.P.: Quality Metrics for Business Process Models. In: 2007 BPM & Workflow Handbook, pp. 179–190. Future Strategies Inc. (2007)
Dijkman, R., Dumas, M., van Dongen, B., Käärik, R., Mendling, J.: Similarity of business process models: Metrics and evaluation. Information Systems 36(2), 498–516 (2011)
Gruhn, V., Laue, R.: Approaches for Business Process Model Complexity Metrics. In: Technologies for Business Information Systems, pp. 13–24. Springer (2007)
Nicolae, O., Wagner, G., Werner, J.: Towards an executable semantics for activities using discrete event simulation. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds.) BPM 2009 Workshops. LNBIP, vol. 43, pp. 369–380. Springer, Heidelberg (2010)
van der Aalst, W.M.P., Weijters, A.J.M.M., Maruster, L.: Workflow mining: Discovering process models from event logs. IEEE Transactions on Knowledge and Data Engineering 16, 1128–1142 (2004)
Song, M., van der Aalst, W.M.P.: Towards comprehensive support for organizational mining. Decision Support Systems 46(1), 300–317 (2008)
Song, M., van der Aalst, W.M.P.: Supporting process mining by showing events at a glance. In: Proceedings of 17th Annual Workshop on Information Technologies and Systems, pp. 139–145 (2007)
Greco, G., Guzzo, A., Pontieri, L.: Mining hierarchies of models: From abstract views to concrete specifications. In: van der Aalst, W.M.P., Benatallah, B., Casati, F., Curbera, F. (eds.) BPM 2005. LNCS, vol. 3649, pp. 32–47. Springer, Heidelberg (2005)
Günther, C.W., van der Aalst, W.M.P.: Fuzzy mining – adaptive process simplification based on multi-perspective metrics. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 328–343. Springer, Heidelberg (2007)
Günther, C.W., Rozinat, A., van der Aalst, W.M.P.: Activity mining by global trace segmentation. In: Rinderle-Ma, S., Sadiq, S., Leymann, F. (eds.) BPM 2009 Workshops. LNBIP, vol. 43, pp. 128–139. Springer, Heidelberg (2010)
Bose, R.P.J.C., Verbeek, E.H.M.W., van der Aalst, W.M.P.: Discovering hierarchical process models using ProM. In: Nurcan, S. (ed.) CAiSE Forum 2011. LNBIP, vol. 107, pp. 33–48. Springer, Heidelberg (2012)
McLachlan, G.J., Krishnan, T.: The EM Algorithm and Extensions. Wiley Series in Probability and Statistics. Wiley-Interscience (2008)
Ferreira, D.R., Szimanski, F., Ralha, C.G.: Mining the low-level behavior of agents in high-level business processes. International Journal of Business Process Integration and Management (to appear, 2013)
Newman, M.: The structure and function of complex networks. SIAM Review 45(2), 167–256 (2003)
McCabe, T.J.: A complexity measure. IEEE Transactions on Software Engineering 2(4), 308–320 (1976)
Henry, S.M., Kafura, D.G.: Software structure metrics based on information flow. IEEE Transactions on Software Engineering 7(5), 510–518 (1981)
Boehm, B.W.: Software engineering economics. Prentice-Hall (1981)
Chidamber, S.R., Kemerer, C.F.: A metrics suite for object oriented design. IEEE Transactions on Software Engineering 20(6), 476–493 (1994)
Nissen, M.E.: Redesigning reengineering through measurement-driven inference. MIS Quarterly 22(4), 509–534 (1998)
Cardoso, J.: Control-flow complexity measurement of processes and Weyuker’s properties. In: 6th International Enformatika Conference. Transactions on Enformatika, Systems Sciences and Engineering, vol. 8, pp. 213–218 (October 2005)
Vanderfeesten, I.T.P., Reijers, H.A., Mendling, J., van der Aalst, W.M.P., Cardoso, J.: On a quest for good process models: The cross-connectivity metric. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 480–494. Springer, Heidelberg (2008)
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Szimanski, F., Ralha, C.G., Wagner, G., Ferreira, D.R. (2013). Improving Business Process Models with Agent-Based Simulation and Process Mining. In: Nurcan, S., et al. Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2013 2013. Lecture Notes in Business Information Processing, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38484-4_10
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DOI: https://doi.org/10.1007/978-3-642-38484-4_10
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