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Paper Abstract and Keywords
Presentation 2024-01-24 15:40
Improvement of learning method using intermediate representation in machine learning method for code smell detection
Risa Hirahara, Tomoji Kishi (Waseda Univ.) KBSE2023-64
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years,methods for detecting code smells have mainly been researched using machine learning.However,the disadvantage of machine learning methods is that they are difficult to apply to various programming languages.As a result,most methods using machine learning target a single language,making it difficult to actually apply them to real-world applications written in multiple programming languages.Therefore,in this research,we propose a method that uses LLVM-IR,which is intermediate between source code and binary code that can be generated from various languages,as training data.By changing the learning data from conventional ones,we will improve the versatility of machine learning methods for programming languages,and make proposals for practical use of machine learning methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Intermediate Representation / Code Smell / Machine Learning / LLVM-IR / metrics / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 352, KBSE2023-64, pp. 79-84, Jan. 2024.
Paper # KBSE2023-64 
Date of Issue 2024-01-16 (KBSE) 
ISSN Online edition: ISSN 2432-6380
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)
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Conference Information
Committee KBSE  
Conference Date 2024-01-23 - 2024-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To KBSE 
Conference Code 2024-01-KBSE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of learning method using intermediate representation in machine learning method for code smell detection 
Sub Title (in English)  
Keyword(1) Intermediate Representation  
Keyword(2) Code Smell  
Keyword(3) Machine Learning  
Keyword(4) LLVM-IR  
Keyword(5) metrics  
1st Author's Name Risa Hirahara  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Tomoji Kishi  
2nd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2024-01-24 15:40:00 
Presentation Time 30 minutes 
Registration for KBSE 
Paper # KBSE2023-64 
Volume (vol) vol.123 
Number (no) no.352 
Page pp.79-84 
Date of Issue 2024-01-16 (KBSE) 

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