Abstract
Conformance checking deals with collating modeled process behavior with observed process behavior recorded in event data. Alignments are a state-of-the-art technique to detect, localize, and quantify deviations in process executions, i.e., traces, compared to reference process models. Alignments, however, assume complete process executions covering the entire process from start to finish or prefixes of process executions. This paper defines infix/postfix alignments, proposes approaches to their computation, and evaluates them using real-life event data.
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Notes
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Note that if the determined subtree is placed within a loop, the subtree containing the highest loop and the initial determined subtree has to be considered.
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References
Adriansyah, A.A.: Aligning observed and modeled behavior. Ph.D. thesis (2014). https://doi.org/10.6100/IR770080
Carmona, J., van Dongen, B., Solti, A., Weidlich, M.: Epilogue. In: Conformance Checking, pp. 261–263. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99414-7_13
Dunzer, S., Stierle, M., Matzner, M., Baier, S.: Conformance checking: a state-of-the-art literature review. In: Proceedings of the 11th International Conference on Subject-Oriented Business Process Management. ACM Press (2019). https://doi.org/10.1145/3329007.3329014
Leemans, S.J.J.: Enhancement & inductive visual miner. In: Robust Process Mining with Guarantees. LNBIP, vol. 440, pp. 423–447. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-96655-3_9
Schuster, D., van Zelst, S.J.: Online process monitoring using incremental state-space expansion: an exact algorithm. In: Fahland, D., Ghidini, C., Becker, J., Dumas, M. (eds.) BPM 2020. LNCS, vol. 12168, pp. 147–164. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58666-9_9
Taymouri, F., Carmona, J.: A recursive paradigm for aligning observed behavior of large structured process models. In: La Rosa, M., Loos, P., Pastor, O. (eds.) BPM 2016. LNCS, vol. 9850, pp. 197–214. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45348-4_12
van der Aalst, W.M.P.: The application of petri nets to workflow management. J. Circ. Syst. Comput. 8, 21–66 (1998). https://doi.org/10.1142/S0218126698000043
van der Aalst, W.M.P., Adriansyah, A., van Dongen, B.: Replaying history on process models for conformance checking and performance analysis. WIREs Data Mining Knowl. Discov. 2, 182–192 (2012). https://doi.org/10.1002/widm.1045
van der Aalst, W.M.P., et al.: Soundness of workflow nets: classification, decidability, and analysis. Formal Aspects Comput. 23, 333–363 (2011). https://doi.org/10.1007/s00165-010-0161-4
van Dongen, B., Carmona, J., Chatain, T., Taymouri, F.: Aligning modeled and observed behavior: a compromise between computation complexity and quality. In: Dubois, E., Pohl, K. (eds.) CAiSE 2017. LNCS, vol. 10253, pp. 94–109. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59536-8_7
Dongen, B.F.: Efficiently computing alignments. In: Daniel, F., Sheng, Q.Z., Motahari, H. (eds.) BPM 2018. LNBIP, vol. 342, pp. 44–55. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-11641-5_4
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Schuster, D., Föcking, N., van Zelst, S.J., van der Aalst, W.M.P. (2022). Conformance Checking for Trace Fragments Using Infix and Postfix Alignments. In: Sellami, M., Ceravolo, P., Reijers, H.A., Gaaloul, W., Panetto, H. (eds) Cooperative Information Systems. CoopIS 2022. Lecture Notes in Computer Science, vol 13591. Springer, Cham. https://doi.org/10.1007/978-3-031-17834-4_18
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