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Paper Abstract and Keywords
Presentation 2019-01-18 12:40
Training Data Creation Method for Machine Learning Performance Improvement in the Software Development Efficiency Technique
Koki Sato (Nihon Univ.), Takeshi Yamada, Kazuhiro Kikuma (NTT), Kiyoshi Ueda (Nihon Univ.) NS2018-184
Abstract (in Japanese) (See Japanese page) 
(in English) NGN which have of the feature both of the internet and the PSTN is required the guarantee of the safety and the social dependence about communication service.
To satisfy above requirement, many methods have been proposed and applied so far and we reduce the number of problem in operation.
On the other hand, the lengthening and rising development cost which caused by many method applied to the large-scale communication system software development are remained problems.
To solve these problems, a method for automatically extract testcases from specification documents was proposed.
Among of the method, we propose a method of leaving necessary and deleting unnecessary of training data to improve the performance of machine learning.
Keyword (in Japanese) (See Japanese page) 
(in English) Large scale communication system software / Software specification / Automatic software testcase extractopm / Machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 392, NS2018-184, pp. 35-40, Jan. 2019.
Paper # NS2018-184 
Date of Issue 2019-01-10 (NS) 
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 NS2018-184

Conference Information
Committee NS  
Conference Date 2019-01-17 - 2019-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagasaki Prefectural Art Museum 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network software (Software Architecture, Middleware), Network Application, SOA/SDP, NGN/IMS/API, Distributed control/Dynamic routing, Grid, Network/System reliability, Network/System evaluation, etc. 
Paper Information
Registration To NS 
Conference Code 2019-01-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Training Data Creation Method for Machine Learning Performance Improvement in the Software Development Efficiency Technique 
Sub Title (in English)  
Keyword(1) Large scale communication system software  
Keyword(2) Software specification  
Keyword(3) Automatic software testcase extractopm  
Keyword(4) Machine learning  
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1st Author's Name Koki Sato  
1st Author's Affiliation Nihon University (Nihon Univ.)
2nd Author's Name Takeshi Yamada  
2nd Author's Affiliation NTT Network Service Systems Laboratories (NTT)
3rd Author's Name Kazuhiro Kikuma  
3rd Author's Affiliation NTT Network Service Systems Laboratories (NTT)
4th Author's Name Kiyoshi Ueda  
4th Author's Affiliation Nihon University (Nihon Univ.)
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Speaker Author-1 
Date Time 2019-01-18 12:40:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2018-184 
Volume (vol) vol.118 
Number (no) no.392 
Page pp.35-40 
#Pages 6 
Date of Issue 2019-01-10 (NS) 

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