Science Score: 41.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 4 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.8%) to scientific vocabulary
Keywords
Repository
A Business Processes and Logs Generator
Basic Info
- Host: GitHub
- Owner: delas
- License: gpl-3.0
- Language: Java
- Default Branch: master
- Homepage: http://plg.processmining.it
- Size: 47 MB
Statistics
- Stars: 32
- Watchers: 10
- Forks: 9
- Open Issues: 5
- Releases: 7
Topics
Metadata Files
README.md
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.gzand not compressed as.xes) - MXML file (both compressed as
.mxml.gzand not compressed as.mxml)
- XES file (both compressed as
- 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.
Owner
- Name: Andrea Burattin
- Login: delas
- Kind: user
- Website: https://andrea.burattin.net
- Repositories: 21
- Profile: https://github.com/delas
Citation (CITATION.md)
## Citation Please, cite this work as: * Andrea Burattin. "[PLG2: Multiperspective Process Randomization with Online and Offline Simulations](https://andrea.burattin.net/publications/2016-bpm-demo)". 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](http://arxiv.org/abs/1506.08415)". 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](http://andrea.burattin.net/publications/2010-bpi)". 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](http://dx.doi.org/10.1007/978-3-642-20511-8_20).
GitHub Events
Total
- Watch event: 2
Last Year
- Watch event: 2
Dependencies
- com.github.delas:libPlg 0.0.10
- com.github.delas:libPlgStream 0.0.2
- com.github.delas:libPlgVisualizer 0.0.3
- org.apache.commons:commons-compress 1.21
- org.apache.httpcomponents:httpclient 4.5.14
- org.apache.httpcomponents:httpcore 4.4.16
- org.apache.maven:maven-model-builder 3.9.4
- org.fife.ui:rsyntaxtextarea 2.0.4.1
- org.ocpsoft.prettytime:prettytime 5.0.7.Final