Blackbox Analysis of Automotive Systems by Logic and Optimization Software Science Approaches to Efficiency and Deployability
Blackbox Analysis of Automotive Systems by Logic and Optimization Software Science Approaches to Efficiency and Deployability
- Delivery
- Available on this site
- Format
- Price
- Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880
- Publication code
- 20225252
- Paper/Info type
- Proceedings (Spring)
No.57-22
- Pages
- 1-4(Total 4 p)
- Date of publication
- May 2022
- Publisher
- JSAE
- Language
- English
- Event
- 2022 JSAE Annual Congress (Spring)
Detailed Information
| Author(E) | 1) Ichiro Hasuo, 2) Masaki Waga, 3) Zhenya Zhang, 4) Étienne André, 5) Paolo Arcaini, 6) Fuyuki Ishikawa, 7) Masaaki Konishi, 8) James Haydon |
|---|---|
| Affiliation(E) | 1) National Institute of Informatics/SOKENDAI, 2) Kyoto University/National Institute of Informatics, 3) Nanyang Technological University, 4) Université de Lorraine, 5) National Institute of Informatics, 6) National Institute of Informatics, 7) National Institute of Informatics, 8) National Institute of Informatics |
| Abstract(J) | 自動車システムの安全性解析及びチューニング手法について，ソフトウェア科学的研究の最先端を紹介する．システム内部動作原理の理解が不要なブラックボックス解析手法を主題とし，1) 形式論理と数値最適化の協働の効果，2) 論理的問題分割による実効性向上，3) 適用コストを軽減する学術的成果，以上を発表する． Translation |
| Abstract(E) | We present some latest results in the software science research towards safety analysis and performance tuning of automotive systems. Our focus is on blackbox analysis techniques; an important feature of them is that they do not require whitebox modeling of target systems’ internal working. We present 1) the benefit of combining formal logic and numeric optimization, 2) enhanced efficiency by the logical division of problems, 3) scientific results that enable flexibility and thus improve deployability of the blackbox techniques. |
