BPMN Assistant: An LLM-Based Approach to Business Process Modeling
Abstract
BPMN Assistant uses Large Language Models to create and edit BPMN diagrams, evaluating process generation and editing performance using JSON and XML representations.
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.
Community
We present BPMN Assistant, an LLM-based tool for creating and editing BPMN diagrams. It introduces a JSON-based representation that improves editing reliability over XML.
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