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Automatic Generation of Component Fault Trees from AADL Models for Design Failure Modes and Effects Analysis

  • Xiongpeng Hu
  • , Jing Liu*
  • , Hui Dou
  • , Hongtao Chen
  • , Yuhong Zhang*
  • *此作品的通讯作者
  • East China Normal University
  • Huawei Technologies Co., Ltd.

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Safety analysis is a crucial process in developing safety-critical systems, allowing the identification of potential design issues that may lead to hazards. Automation of this process has become the focus of research in the critical system domain due to the growing complexity of systems. This paper proposes a Component Fault Trees (CFTs) based Failure Mode and Effects Analysis approach for Architecture Analysis and Design Language (AADL) models. First, we propose a methodology for directly generating CFTs from AADL models to display the overall failure behavior of the system. Then we extend the Error Model Annex Version 2 (EMV2) with DFMEA property to express the assessment criteria of error formally, and conduct Design Failure Mode and Effects Analysis (DFMEA) whose core step is guided by CFTs. We discuss our approach with its tool support and evaluate its applicability in driving the design of safety-critical systems through a case study.

源语言英语
主期刊名Proceedings - 2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security, QRS 2023
出版商Institute of Electrical and Electronics Engineers Inc.
550-561
页数12
ISBN(电子版)9798350319583
DOI
出版状态已出版 - 2023
活动23rd IEEE International Conference on Software Quality, Reliability, and Security, QRS 2023 - Chiang Mai, 泰国
期限: 22 10月 202326 10月 2023

出版系列

姓名IEEE International Conference on Software Quality, Reliability and Security, QRS
ISSN(印刷版)2693-9177

会议

会议23rd IEEE International Conference on Software Quality, Reliability, and Security, QRS 2023
国家/地区泰国
Chiang Mai
时期22/10/2326/10/23

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