Abstract
Conformance checking strongly relies on the computation of artefacts, which enable reasoning on the relation between observed and modeled behavior. This paper shows how important conformance artefacts like alignments, anti-alignments or even multi-alignments, defined over the edit distance, can be computed by encoding the problem as a SAT instance. From a general perspective, the work advocates for a unified family of techniques that can compute conformance artefacts in the same way. The prototype implementation of the techniques presented in this paper show capabilities for dealing with some of the current benchmarks, and potential for the near future when optimizations similar to the ones in the literature are incorporated.
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Notes
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- 2.
For the sake of simplicity of the encoding, we are abusing a bit the notation, i.e., assuming that labels identify transitions. This can be generalized easily for the general case when severals transitions exist for the same label.
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Only the total sum of \(\delta \) are minimized/maximized in our tool.
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Anti-alignment Precision/Generalization of package AntiAlignments of ProM software version 6.8, http://www.promtools.org/.
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Acknowledgments
This work has been supported by Farman institute at ENS Paris-Saclay and by MINECO and FEDER funds under grant TIN2017-86727-C2-1-R.
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Boltenhagen, M., Chatain, T., Carmona, J. (2019). Encoding Conformance Checking Artefacts in SAT. In: Di Francescomarino, C., Dijkman, R., Zdun, U. (eds) Business Process Management Workshops. BPM 2019. Lecture Notes in Business Information Processing, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-37453-2_14
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