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Paper Abstract and Keywords
Presentation 2023-03-14 18:25
A feature analysis of merged change requests on a version
Mizuki Uenaka, Akinori Ihara (Wakayama Univ.), Yutaro Kashiwa (NAIST) SS2022-60
Abstract (in Japanese) (See Japanese page) 
(in English) Large software development projects have a large number of the source code change requests on a daily basis. Developers verify the changes to improve the quality and maintainability of the source code. However there are many change requests that the verification work is delayed. In this study, we propose a method for selecting change requests to be introduced in the most recent version. In particular, this study compared the prediction accuracy of change requests and the important features for the prediction model. As a result of this study, we confirmed that the features that are important for the selection of change requests change with the time until release.
Keyword (in Japanese) (See Japanese page) 
(in English) Code review / Machine learning / Mining Software Repositories / Open source software / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 432, SS2022-60, pp. 79-84, March 2023.
Paper # SS2022-60 
Date of Issue 2023-03-07 (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 SS2022-60

Conference Information
Committee SS  
Conference Date 2023-03-14 - 2023-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SS 
Conference Code 2023-03-SS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A feature analysis of merged change requests on a version 
Sub Title (in English)  
Keyword(1) Code review  
Keyword(2) Machine learning  
Keyword(3) Mining Software Repositories  
Keyword(4) Open source software  
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1st Author's Name Mizuki Uenaka  
1st Author's Affiliation Wakayama University (Wakayama Univ.)
2nd Author's Name Akinori Ihara  
2nd Author's Affiliation Wakayama University (Wakayama Univ.)
3rd Author's Name Yutaro Kashiwa  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2023-03-14 18:25:00 
Presentation Time 25 minutes 
Registration for SS 
Paper # SS2022-60 
Volume (vol) vol.122 
Number (no) no.432 
Page pp.79-84 
#Pages 6 
Date of Issue 2023-03-07 (SS) 

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