BPMN Assistant: An LLM-Based Approach to Business Process Modeling
Authors: name: Josip Tomo Licardo, name: Nikola Tankovic, name: Darko Etinger

This paper presents BPMN Assistant, a tool that leverages Large Language
Models (LLMs) for natural language-based creation and editing of BPMN diagrams.
A specialized JSON-based representation is introduced as a structured
alternative to the direct handling of XML to enhance the accuracy of process
modifications. Process generation quality is evaluated using Graph Edit
Distance (GED) and Relative Graph Edit Distance (RGED), while editing
performance is evaluated with a binary success metric. Results show that JSON
and XML achieve similar similarity scores in generation, but JSON offers
greater reliability, faster processing, and significantly higher editing
success rates. We discuss key trade-offs, limitations, and future improvements.
The implementation is available at https://github.com/jtlicardo/bpmn-assistant.