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Paper Abstract and Keywords
Presentation 2018-07-18 10:30
An analysis of the impact of temporal changes of developers' activities on the committer candidate prediction model
Daiki Yamasaki, Masao Ohira, Akinori Ihara, Yutaro Kashiwa, Tomoki Miyazaki (Wakayama Univ.) SS2018-4 KBSE2018-14
Abstract (in Japanese) (See Japanese page) 
(in English) Many of large-scale open source projects have a serious problem in recruiting committers who have a privilege to commit changed and verified code to a version management system.
The goal of this study is to reveal the relationship between the accuracy of the committer candidate prediction model and the size of data, which were not studied in the past.
In this paper, we conduct an experiment to investigate the relationship using data extracted from the Eclipse Platform project.
As a result, we found that the accuracy of the prediction model became better when using data during a recent one or two year period than when using all the available data.
Keyword (in Japanese) (See Japanese page) 
(in English) OSS / Committer Candidation Prediction / Logistic Regression / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 137, SS2018-4, pp. 19-24, July 2018.
Paper # SS2018-4 
Date of Issue 2018-07-11 (SS, KBSE) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee KBSE SS IPSJ-SE  
Conference Date 2018-07-18 - 2018-07-20 
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 2018-07-KBSE-SS-SE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An analysis of the impact of temporal changes of developers' activities on the committer candidate prediction model 
Sub Title (in English)  
Keyword(1) OSS  
Keyword(2) Committer Candidation Prediction  
Keyword(3) Logistic Regression  
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1st Author's Name Daiki Yamasaki  
1st Author's Affiliation Wakayama University (Wakayama Univ.)
2nd Author's Name Masao Ohira  
2nd Author's Affiliation Wakayama University (Wakayama Univ.)
3rd Author's Name Akinori Ihara  
3rd Author's Affiliation Wakayama University (Wakayama Univ.)
4th Author's Name Yutaro Kashiwa  
4th Author's Affiliation Wakayama University (Wakayama Univ.)
5th Author's Name Tomoki Miyazaki  
5th Author's Affiliation Wakayama University (Wakayama Univ.)
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Speaker Author-1 
Date Time 2018-07-18 10:30:00 
Presentation Time 25 minutes 
Registration for SS 
Paper # SS2018-4, KBSE2018-14 
Volume (vol) vol.118 
Number (no) no.137(SS), no.138(KBSE) 
Page pp.19-24 
#Pages
Date of Issue 2018-07-11 (SS, KBSE) 


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