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.

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:

• libPlg: library for processes and event generation
• libPlgStream: library for stream generation
• libPlgVisualizer: library for process visualization

Citation

Please, cite this work as:

• Andrea Burattin. "PLG2: Multiperspective Process Randomization with Online and Offline Simulations". In Online Proceedings of the BPM Demo Track 2016; Rio de Janeiro, Brasil; September, 18 2016; CEUR-WS.org 2016.

Other relevant publications:

• Andrea Burattin. "PLG2: Multiperspective Processes Randomization and Simulation for Online and Offline Settings". In CoRR abs/1506.08415, Jun. 2015.
• Andrea Burattin and Alessandro Sperduti. "PLG: a Framework for the Generation of Business Process Models and their Execution Logs". In Proceedings of the 6th International Workshop on Business Process Intelligence (BPI 2010); Stevens Institute of Technology; Hoboken, New Jersey, USA; September 13, 2010.10.1007/978-3-642-20511-8_20.