22 jul 2011 -- University of Padova, Italy
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.
Attention: this software is not maintained anymore. A complete rewriting of PLG is ongoing.
In order to run this software, some used libraries need Graphviz Dot to be installed in the computer.
To run the ProcessLogGenerator, there are two options:
- open a terminal and
cd
where theProcessLogGenerator.jar
file is located, then run
$ java -jar ProcessLogGenerator.jar
- right click the
ProcessLogGenerator.jar
file and click on "Open with Sun/Oracle Java X Runtime" (where X is your Java distribution number).
Downloading the package, you will find also the small library to build your own process generator in a simple way. The following example illustate a way to construct a process and log:
import java.io.IOException;
import org.deckfour.xes.model.XLog;
import org.deckfour.xes.out.XesXmlSerializer;
import it.unipd.math.plg.models.PlgProcess;
public class PlgTest {
public static void main(String[] args) throws IOException {
// define the new process and create some random activities
// with, at most, 3 nested split
PlgProcess p = new PlgProcess("test process");
p.randomize(3);
// generate 10 process instances
XLog log = p.generateXESLog(10, 100, 0);
// serialize the log to the standard output
XesXmlSerializer serializer = new XesXmlSerializer();
serializer.serialize(log, System.out);
}
}
Please, cite this work as:
- 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.
The releases section of this repository contains the entire project history and evolution. Each release provides both a source and a binary package. Please consider as accurate only the binary package.