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Paper Abstract and Keywords
Presentation 2020-03-04 15:40
Performance Evaluation of Automatic Bug Fixing Tool for Syntax Error
Haruki Matsuo, Sho Ikeda, Yasutaka Kamei, Ryosuke Sato, Naoyasu Ubayashi (Kyushu Univ.) SS2019-47
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, various automatic bug fixing tools have been developed.Among them, DeepFix, which fixes syntax errors in programs, achieved 27% complete fixes of programs and 19% partial fixes of programs,using sequence-to-sequence neural network.In the performance evaluation in the previous research, the data used for learn- ing and the data to be applied were selected from the same set (53,478 responses from a certain online programming course student).In order to improve the generalizability of experiments, this study uses newly prepared learning and applicable data (5,803 programs created by students of Kyushu University Faculty of Law, 10,597 programs created by students of Kyushu University Faculty of Education).Then, we investigate performance of DeepFix.As a result of the investigation, it was found that DeepFix trained by learning data of the previous study had sufficient correction performance even when applied to new learning data, and there were factors that affected the correction performance in the content of the learning program. In addition, it was shown that when new learning data was added to the data of the previous research, the correction performance for the data of the same set as the new data was improved.
Keyword (in Japanese) (See Japanese page) 
(in English) Automatic bug repair / Deep Learning / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 451, SS2019-47, pp. 37-42, March 2020.
Paper # SS2019-47 
Date of Issue 2020-02-26 (SS) 
ISSN Print edition: ISSN 0913-5685  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 SS  
Conference Date 2020-03-04 - 2020-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To SS 
Conference Code 2020-03-SS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluation of Automatic Bug Fixing Tool for Syntax Error 
Sub Title (in English)  
Keyword(1) Automatic bug repair  
Keyword(2) Deep Learning  
1st Author's Name Haruki Matsuo  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Sho Ikeda  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
3rd Author's Name Yasutaka Kamei  
3rd Author's Affiliation Kyushu University (Kyushu Univ.)
4th Author's Name Ryosuke Sato  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
5th Author's Name Naoyasu Ubayashi  
5th Author's Affiliation Kyushu University (Kyushu Univ.)
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Date Time 2020-03-04 15:40:00 
Presentation Time 25 
Registration for SS 
Paper # IEICE-SS2019-47 
Volume (vol) IEICE-119 
Number (no) no.451 
Page pp.37-42 
#Pages IEICE-6 
Date of Issue IEICE-SS-2020-02-26 

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