TY - GEN
T1 - Facilitating Fault Tree Analysis with Generative AI
AU - Shentu, Yujiao
AU - Trapp, Mario
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - Fault Tree Analysis (FTA) is a cornerstone safety and reliability engineering technique. However, the manual development of fault trees can be time-intensive, error-prone, and challenging for complex systems. This paper proposes a novel application of Generative AI (GenAI) to automate and enhance FTA. Instead of using LLMs to generate a complete fault tree, however, we believe that it is essential that the human analyst still drives the analysis and “only” gets support from an analysis co-pilot. By leveraging large language models (LLMs), our approach suggests new sub-causes for existing fault trees. The methodology will be applied to a Lane Keeping Assist System (LKAS) to demonstrate how GenAI can extend fault tree coverage and completeness.
AB - Fault Tree Analysis (FTA) is a cornerstone safety and reliability engineering technique. However, the manual development of fault trees can be time-intensive, error-prone, and challenging for complex systems. This paper proposes a novel application of Generative AI (GenAI) to automate and enhance FTA. Instead of using LLMs to generate a complete fault tree, however, we believe that it is essential that the human analyst still drives the analysis and “only” gets support from an analysis co-pilot. By leveraging large language models (LLMs), our approach suggests new sub-causes for existing fault trees. The methodology will be applied to a Lane Keeping Assist System (LKAS) to demonstrate how GenAI can extend fault tree coverage and completeness.
UR - https://www.scopus.com/pages/publications/105014743454
U2 - 10.1007/978-3-032-02018-5_38
DO - 10.1007/978-3-032-02018-5_38
M3 - Conference contribution
AN - SCOPUS:105014743454
SN - 9783032020178
T3 - Lecture Notes in Computer Science
SP - 524
EP - 536
BT - Computer Safety, Reliability, and Security. SAFECOMP 2025 Workshops - CoC3CPS, DECSoS, SASSUR, SENSEI, SRToITS, and WAISE, 2025, Proceedings
A2 - Törngren, Martin
A2 - Gallina, Barbara
A2 - Schoitsch, Erwin
A2 - Troubitsyna, Elena
A2 - Bitsch, Friedemann
PB - Springer Science and Business Media Deutschland GmbH
T2 - Co-Design of Communication, Computing and Control in Cyber-Physical Systems, CoC3CPS 2025, 20th Workshop on Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems, DECSoS 2025, 12th International Workshop on Next Generation of System Assurance Approaches for Critical Systems, SASSUR 2025, 4th International Workshop on Safety and Security Interaction, SENSEI 2025, 2nd International Workshop on Safety/Reliability/Trustworthiness of Intelligent Transportation Systems, SRToITS 2025 and 8th International Workshop on Artificial Intelligence Safety Engineering, WAISE 2025 held in conjunction with the 44th International Conference on Computer Safety, Reliability, and Security, SAFECOMP 2025
Y2 - 9 September 2025 through 9 September 2025
ER -