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Summary & Details

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

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20266075

Paper/Info type: Proceedings (Autumn)

No.107-26

Pages: 1-7(Total 7 p)

Date of publication: Oct 2026

Publisher: JSAE

Language: English

Event: 2026 JSAE Annual Congress (Autumn)

Detailed Information

Author(J)	1) Youngmo Lee, 2) Daeki Kim, 3) Sunghoon Woo
Author(E)	1) Youngmo Lee, 2) Daeki Kim, 3) Sunghoon Woo
Affiliation(J)	1) Hyundai Autoever, 2) Hyundai Autoever, 3) Hyundai Autoever
Affiliation(E)	1) Hyundai Autoever, 2) Hyundai Autoever, 3) Hyundai Autoever
Abstract(E)	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.

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