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PLG: A Framework for the Generation of Business Process Models and Their Execution Logs

  • Andrea Burattin
  • Alessandro Sperduti
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 66)

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.

Keywords

process mining business processes log generation Petri net benchmark dataset 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Andrea Burattin
    • 1
  • Alessandro Sperduti
    • 1
  1. 1.Department of Pure and Applied MathematicsUniversity of PaduaItaly

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