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Processes and Logs Generator

Process Log Generator is a application capable to generate random business processes, starting from some general "complexity paramenters". PLG is also able to "execute" a given process model in order to generate a process log.

This software is designed to help researchers in the construction of a large set of processes and corresponding execution logs. This software is released with a small library which could help in the programmatical creation of processes.

More information at the project home page http://plg.processmining.it/.

Attention: this repository is a complete rewriting of the project already available at: https://github.com/delas/plg-old.

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Main features

  • Random process generation, with different complexity parameters
  • Random process evolution (to generate slight variations of existing processes)
  • Configuration of time for activities duration and time between activities (via Python scripts)
  • Generation of static/dynamic data objects for multi-perspective event log generation (via Python scripts)
  • Import of process from
    • PLG file format
    • BPMN files (generated from SAP Signavio)
  • Export of generated processes as
    • PLG file format
    • BPMN 2.0 XML file
    • BPMN as Graphviz Dot file
    • Petri net as Graphviz Dot file
    • Petri net as LoLA file
    • Petri net as PNML file
    • Petri net as TPN file
  • Generation of an event log with any number of traces
  • Fine-tuned configuration of noise parameters for event log generation
  • Export of the generated event log as
    • XES file (both compressed as .xes.gz and not compressed as .xes)
    • MXML file (both compressed as .mxml.gz and not compressed as .mxml)
  • Generation of an infinite stream of events
  • Event streams generated as MQTT-XES format (cf. https://www.beamline.cloud/mqtt-xes/)
  • Ability to dynamically switch the process generting the events (to simulate concept drift in streams)
  • Generation of noise into the stream

Help

  • Visit the Wiki for all information. Useful quick documentation:
  • How to specify Data Objects to generate multiperspectives logs
  • How to work with times in PLG

Libraries

PLG makes use of the following libraries:

Citation

Please, cite this work as:

Other relevant publications: