Abstract
Evaluating process mining algorithms would require the availability of a suite of real-world business processes and their execution logs, which hardly are available. In this paper we propose an approach for the random generation of business processes and their execution logs. The proposed approach is based on the generation of process descriptions via a stochastic context-free grammar whose definition is based on well-known process patterns. An algorithm for the generation of execution instances is also proposed. The implemented tools are publicly available.
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Burattin, A., Sperduti, A. (2011). PLG: A Framework for the Generation of Business Process Models and Their Execution Logs. In: zur Muehlen, M., Su, J. (eds) Business Process Management Workshops. BPM 2010. Lecture Notes in Business Information Processing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20511-8_20
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DOI: https://doi.org/10.1007/978-3-642-20511-8_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20510-1
Online ISBN: 978-3-642-20511-8
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