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 |
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) |
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SS2019-47 |
Conference Information |
Committee |
SS |
Conference Date |
2020-03-04 - 2020-03-05 |
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(See Japanese page) |
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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 |
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Automatic bug repair |
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Deep Learning |
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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 |
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Kyushu University (Kyushu Univ.) |
5th Author's Name |
Naoyasu Ubayashi |
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Kyushu University (Kyushu Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-03-04 15:40:00 |
Presentation Time |
25 minutes |
Registration for |
SS |
Paper # |
SS2019-47 |
Volume (vol) |
vol.119 |
Number (no) |
no.451 |
Page |
pp.37-42 |
#Pages |
6 |
Date of Issue |
2020-02-26 (SS) |
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