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An LLM-Integrated Framework for Completion, Management, and Tracing of STPA

15 March 2025
Ali Raeisdanaei
Juho Kim
Michael Liao
Sparsh Kochhar
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Abstract

In many safety-critical engineering domains, hazard analysis techniques are an essential part of requirement elicitation. Of the methods proposed for this task, STPA (System-Theoretic Process Analysis) represents a relatively recent development in the field. The completion, management, and traceability of this hazard analysis technique present a time-consuming challenge to the requirements and safety engineers involved. In this paper, we introduce a free, open-source software framework to build STPA models with several automated workflows powered by large language models (LLMs). In past works, LLMs have been successfully integrated into a myriad of workflows across various fields. Here, we demonstrate that LLMs can be used to complete tasks associated with STPA with a high degree of accuracy, saving the time and effort of the human engineers involved. We experimentally validate our method on real-world STPA models built by requirement engineers and researchers. The source code of our software framework is available at the following link:this https URL.

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@article{raeisdanaei2025_2503.12043,
  title={ An LLM-Integrated Framework for Completion, Management, and Tracing of STPA },
  author={ Ali Raeisdanaei and Juho Kim and Michael Liao and Sparsh Kochhar },
  journal={arXiv preprint arXiv:2503.12043},
  year={ 2025 }
}
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