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Paper Abstract and Keywords
Presentation 2021-05-28 11:35
Software Framework Design for Machine Learning System Reliability
Mitsunari Kobayashi, Daisuke Komaki (Hitachi) R2021-3
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, enterprise software featuring Machine Learning (AI software) has widely adopted. Since behavior of AI software is determined recursively from the data used for learning, it has a different nature from non-AI software whose behavior is determined by static specification. To maintain the quality of AI software, there exists difficulty to design and develop software modules for managing the software quality according to changes in users’ requirements and incoming data through long-term operation. In the development of AI software, addition to a module to detect quality degradation by statistically monitoring the certainty of model inferences, it is necessary to individually design and develop the software modules, such as generation of training data set and the control of retraining process. In this study, we propose a software framework that facilitates the integration into AI software by the software modules as the standard ones for AI software. By using the proposed framework, software developers can easily develop a reliable AI software which is robust to changes in users’ requirements and incoming data.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Learning / Artificial Intelligence / Application Framework / Reliability / CI/CD / Software Framerwork / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 47, R2021-3, pp. 13-18, May 2021.
Paper # R2021-3 
Date of Issue 2021-05-21 (R) 
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)
Download PDF R2021-3

Conference Information
Committee R  
Conference Date 2021-05-28 - 2021-05-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Software Reliability, Reliability General 
Paper Information
Registration To R 
Conference Code 2021-05-R 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Software Framework Design for Machine Learning System Reliability 
Sub Title (in English)  
Keyword(1) Machine Learning  
Keyword(2) Artificial Intelligence  
Keyword(3) Application Framework  
Keyword(4) Reliability  
Keyword(5) CI/CD  
Keyword(6) Software Framerwork  
Keyword(7)  
Keyword(8)  
1st Author's Name Mitsunari Kobayashi  
1st Author's Affiliation Hitachi, Ltd. (Hitachi)
2nd Author's Name Daisuke Komaki  
2nd Author's Affiliation Hitachi, Ltd. (Hitachi)
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Speaker Author-1 
Date Time 2021-05-28 11:35:00 
Presentation Time 25 minutes 
Registration for R 
Paper # R2021-3 
Volume (vol) vol.121 
Number (no) no.47 
Page pp.13-18 
#Pages 6 
Date of Issue 2021-05-21 (R) 

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