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Paper Abstract and Keywords
Presentation 2026-03-03 10:05
Family-based Model Checking based on Machine Learning
Tomoji Kishi (Waseda Univ.) SS2025-44
Abstract (in Japanese) (See Japanese page) 
(in English) We are examining a method to improve the efficiency of family-based model checking assisted by machine learning. In this article, we provide a fundamental evaluation of a method that predicts the result of model checking using machine learning.
Keyword (in Japanese) (See Japanese page) 
(in English) model checking / machine learning / variability model / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 376, SS2025-44, pp. 85-90, March 2026.
Paper # SS2025-44 
Date of Issue 2026-02-23 (SS) 
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 SS2025-44

Conference Information
Committee SS  
Conference Date 2026-03-02 - 2026-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Tsushimashi Koryu Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SS 
Conference Code 2026-03-SS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Family-based Model Checking based on Machine Learning 
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Keyword(1) model checking  
Keyword(2) machine learning  
Keyword(3) variability model  
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1st Author's Name Tomoji Kishi  
1st Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2026-03-03 10:05:00 
Presentation Time 25 minutes 
Registration for SS 
Paper # SS2025-44 
Volume (vol) vol.125 
Number (no) no.376 
Page pp.85-90 
#Pages 6 
Date of Issue 2026-02-23 (SS) 

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