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Paper Abstract and Keywords
Presentation 2021-01-23 13:05
DevOps Assurance Cases for Autonomous Vehicles Systems
Yudai Koike (Nihon Univ.), Manabu Okada (Tier4), Toshinori Takai (Change Vision), Takumi Okuma, Yutaka Matsuno (Nihon Univ.) KBSE2020-29
Abstract (in Japanese) (See Japanese page) 
(in English) With the advancement of deep learning technologies, autonomous vehicle systems will be realized. However, due to the inductive nature of deep learning, safety assurance of AI system using deep learning is difficult. Complying with international standards such as ISO26262 and SOTIF, our research targets safety assurance of autonomous vehicles with textit{DevOps Assurance Cases}, an assurance cases method which is used in both development and operational phases. DevOps assurance cases incorporate monitoring data from the system in operation, and a DevOps assurance case can change the argument structure according to the monitoring data. By DevOps assurance cases,
we aim to cope with textit{changes} which will occur during the whole system lifecycle unpredictably. In this paper, first we show a use case with a face recognition system. Second, we conduct a case study with an autonomous cargo system and create system models.
Keyword (in Japanese) (See Japanese page) 
(in English) autonomous vehicle systems / safety assurance / assurance cases / Goal Structuring Notation (GSN) / Monitoring / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 334, KBSE2020-29, pp. 1-6, Jan. 2021.
Paper # KBSE2020-29 
Date of Issue 2021-01-16 (KBSE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF KBSE2020-29

Conference Information
Committee KBSE  
Conference Date 2021-01-23 - 2021-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General, Student 
Paper Information
Registration To KBSE 
Conference Code 2021-01-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) DevOps Assurance Cases for Autonomous Vehicles Systems 
Sub Title (in English)  
Keyword(1) autonomous vehicle systems  
Keyword(2) safety assurance  
Keyword(3) assurance cases  
Keyword(4) Goal Structuring Notation (GSN)  
Keyword(5) Monitoring  
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1st Author's Name Yudai Koike  
1st Author's Affiliation Nihon University (Nihon Univ.)
2nd Author's Name Manabu Okada  
2nd Author's Affiliation Tier4, Inc. (Tier4)
3rd Author's Name Toshinori Takai  
3rd Author's Affiliation Change Vision, Inc. (Change Vision)
4th Author's Name Takumi Okuma  
4th Author's Affiliation Nihon University (Nihon Univ.)
5th Author's Name Yutaka Matsuno  
5th Author's Affiliation Nihon University (Nihon Univ.)
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Speaker Author-1 
Date Time 2021-01-23 13:05:00 
Presentation Time 30 minutes 
Registration for KBSE 
Paper # KBSE2020-29 
Volume (vol) vol.120 
Number (no) no.334 
Page pp.1-6 
#Pages
Date of Issue 2021-01-16 (KBSE) 


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