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Paper Abstract and Keywords
Presentation 2022-03-07 10:55
Automating code review based on source code
Akihito Ihara, Toshiki Hirao (NAIST), Kenji Fujiwara (TCU), Hajimu Iida (NAIST) SS2021-43
Abstract (in Japanese) (See Japanese page) 
(in English) Code review is an important process to assess software quality, where developers manually find bugs, improve existing codes and so on. However, the code review takes much time to be performed. Prior work has shown bunch of automated code review models, whereas those work do not perform well because the source code structure is not taken into consideration. Hence, this paper proposes a AST based model to consider the metrics of source code structures.
We implemented a learning flow based on code2seq which is one of the most common AST based models. We applied the dataset used in the previous study to the proposed method, and proved that it works, but it didn't improve the accuracy due to the high learning cost.
Keyword (in Japanese) (See Japanese page) 
(in English) Code Review / NLP / AST / code2seq / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 416, SS2021-43, pp. 7-12, March 2022.
Paper # SS2021-43 
Date of Issue 2022-02-28 (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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF SS2021-43

Conference Information
Committee SS  
Conference Date 2022-03-07 - 2022-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Software Science etc. 
Paper Information
Registration To SS 
Conference Code 2022-03-SS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Automating code review based on source code 
Sub Title (in English)  
Keyword(1) Code Review  
Keyword(2) NLP  
Keyword(3) AST  
Keyword(4) code2seq  
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1st Author's Name Akihito Ihara  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Toshiki Hirao  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Kenji Fujiwara  
3rd Author's Affiliation Tokyo City University (TCU)
4th Author's Name Hajimu Iida  
4th Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2022-03-07 10:55:00 
Presentation Time 25 minutes 
Registration for SS 
Paper # SS2021-43 
Volume (vol) vol.121 
Number (no) no.416 
Page pp.7-12 
#Pages 6 
Date of Issue 2022-02-28 (SS) 

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