Intelligent Fault Injection Scenario Generation Using Level 4 Virtual Electronic Controller Unit and Verification Efficiency Enhancement Systematic Fault Injection and Coverage Evaluation on a Level 4 AUTOSAR Virtual ECU
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- 形態
- 価格
- 一般価格(税込):¥1,100 会員価格(税込):¥880
- 文献番号
- 20266075
- 文献・情報種別
- 学術講演会予稿集(秋)
No.107-26
- 掲載ページ
- 1-7(Total 7 p)
- 発行年月
- 2026年 10月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
- イベント
- 2026年秋季大会
書誌事項
| 著者 | 1) Youngmo Lee, 2) Daeki Kim, 3) Sunghoon Woo |
|---|---|
| 著者(英) | 1) Youngmo Lee, 2) Daeki Kim, 3) Sunghoon Woo |
| 勤務先 | 1) Hyundai Autoever, 2) Hyundai Autoever, 3) Hyundai Autoever |
| 勤務先(英) | 1) Hyundai Autoever, 2) Hyundai Autoever, 3) Hyundai Autoever |
| 抄録(英) | Manual fault injection scenario in Level 4 virtual ECU verification causes omission, redundancy, and inefficient resource allocation. This research proposes a methodology to automatically generate fault injection scenarios from functional safety requirements using AI. The methodology analyzes ISO 26262 requirements through machine learning and generates scenarios to enhance verification coverage. A priority determination algorithm eliminates redundancy and optimizes verification sequence, reducing verification time while expanding coverage. The results are expected to automate functional safety-oriented Basic Software verification, improve development processes, and reduce human errors. 翻訳 |