Development of a TC39x TriCore Instruction Set Simulator for AUTOSAR OS Conformance ELF Verification Using AI-Assisted Methodology
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.):¥1,100 Members (tax incl.):¥880
- Publication code
- 20266076
- Paper/Info type
- Proceedings (Autumn)
No.107-26
- Pages
- 1-8(Total 8 p)
- Date of publication
- Oct 2026
- Publisher
- JSAE
- Language
- English
- Event
- 2026 JSAE Annual Congress (Autumn)
Detailed Information
| Author(J) | 1) Sunghoon Woo, 2) Daeki Kim, 3) Youngmo Lee, 4) Kyungnam Kim, 5) Jaekyung Kim |
|---|---|
| Author(E) | 1) Sunghoon Woo, 2) Daeki Kim, 3) Youngmo Lee, 4) Kyungnam Kim, 5) Jaekyung Kim |
| Affiliation(J) | 1) Hyundai Autoever, 2) Hyundai Autoever, 3) Hyundai Autoever, 4) Hyundai Autoever, 5) Hyundai Autoever |
| Affiliation(E) | 1) Hyundai Autoever, 2) Hyundai Autoever, 3) Hyundai Autoever, 4) Hyundai Autoever, 5) Hyundai Autoever |
| Abstract(E) | This paper investigates whether AUTOSAR OS test ELFs can be executed on a SystemC ISS for the Infineon TC39x using AI-Assisted Methodology. The ISS implements six TriCore v1.6.2P cores with CSA chain, trap/interrupt handling, and 30 peripheral stubs (STM, MPU, MULTICAN, CAN-XL, GETH, FlexRay, ASCLIN etc). Completeness was improved via AI-driven datasheet analysis, MCAL sample code-based hardware modeling, and AI-assisted AUTOSAR OS boot register implementation. Key challenges -CSA linked-list reconstruction and 2-/6-core boot synchronization- were resolved under human knowhow. |