Automated Generation of Business Process Models using Constraint Logic Programming in Python

Abstract

High complexity of business processes in real-life organizations is a constantly rising issue. In consequence, modeling a workflow is a challenge for process stakeholders. Yet, to facilitate this task, new methods can be implemented to automate the phase of process design. As a main contribution of this paper, we propose an approach to generate process models based on activities performed by the participants, where the exact order of execution does not need to be specified. Nevertheless, the goal of our method is to generate artificial workflow traces of a process using Constraint Programming and a set of predefined rules. As a final step, the approach was implemented as a dedicated tool and evaluated on a set of test examples that prove that our method is capable of creating correct process models.

Automatic generation of business process models from user stories

“…This model is automatically generated from the model of the relations between attributes. In [21] the generation of BPMN is performed from a workflow log. The development of the process model generator is carried out with the help of Python with the pm4py library which provides the implementation of alpha and inductive miner algorithms and allows the presentation of the discovered processes in the form of Petri nets, as with their conversion into a BPMN diagram in XML and graphic format.…”