Detecting Diagnostic Trouble Code Requirement–Implementation Inconsistencies Using LLMs: An Experience Report

20260 citationsJournal Article

Authors

Tongwei Zhang · University of Waterloo

Kundi Yao · University of Waterloo

Hao Hu · University of Waterloo

Pengyu Nie · Aptiv (United States)

Krishna Koravadi · Charles River Laboratories (Netherlands)

Weiyi Shang · University of Waterloo

Abstract

Ensuring alignment between requirements and implementation is a critical challenge in safety-critical automotive systems. In this industrial study of 89 diagnostic trouble code methods, detected inconsistencies were confirmed by domain experts and challenges and lessons learned were documented for future practitioners.

Topics & Keywords

Genomics and Rare Diseases Biomedical Text Mining and Ontologies Topic Modeling

UN Sustainable Development Goals

Reduced inequalities

Publication Details

Published in: IEEE Software

Volume 43, Issue 2, pp. 103-111

DOI: 10.1109/ms.2025.3631386

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