Towards Automated or Assisted Requirements Extraction and Analysis Using an LLM-Based Multi-Agent System: A Case Study

The increasing variety and complexity of products presents companies with ever greater challenges when selecting and engineering suitable components and systems. A pivotal step in this process is the collection and documentation of requirements, which is conducted manually, necessitating substantial resources, particularly when the underlying data is in unstructured formats. In this publication, we propose an innovative approach to address this issue. Specifically, we present a multi-agent system that is developed based on large language models. This system facilitates the automated or at least assisted analysis of requirements extracted from unstructured data, with a particular emphasis on the processing of text and image data. Initial results show that the approach presented delivers promising results.

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Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1109/ice/itmc65658.2025.11106535
Primary Topic
Business Process Modeling and Analysis
Type
article
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Towards Automated or Assisted Requirements Extraction and Analysis Using an LLM-Based Multi-Agent System: A Case Study

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Business Process Modeling and Analysis
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Towards Automated or Assisted Requirements Extraction and Analysis Using an LLM-Based Multi-Agent System: A Case Study

Marco F. Huber, Alexander Verl, Walter Schaaf, Tobias Eberhardt, Felix Fuchs
article en

Abstract

The increasing variety and complexity of products presents companies with ever greater challenges when selecting and engineering suitable components and systems. A pivotal step in this process is the collection and documentation of requirements, which is conducted manually, necessitating substantial resources, particularly when the underlying data is in unstructured formats. In this publication, we propose an innovative approach to address this issue. Specifically, we present a multi-agent system that is developed based on large language models. This system facilitates the automated or at least assisted analysis of requirements extracted from unstructured data, with a particular emphasis on the processing of text and image data. Initial results show that the approach presented delivers promising results.

Fraunhofer Institute for Manufacturing Engineering and Automation (DE), Fraunhofer Institute for Machine Tools and Forming Technology (DE), Fraunhofer Institute for Manufacturing Technology and Advanced Materials (DE), Schmalz (Germany) (DE), Institute of Advanced Manufacturing Technology (CN)
Openalex Percentile: Top 66%
Business Process Modeling and Analysis
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