Paper Abstract and Keywords |
Presentation |
2023-01-20 13:00
A study for using deep learning inference results of program defects in code review checklists Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2022-51 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In system development, various efforts are made to improve the quality of programs.
One of these efforts is code review.
We applied a system using deep learning, which we call the CNN-BI system, to infer program defects, and found that the accuracy (F value) of defects in SQL statements was 0.71.
In this study, we created a checklist that includes the inference results of the CNN-BI system as checklist items.
We examined the impact of the checklists with inference results. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
code review / checklist / convolutional nural network / deep learning / bug inference / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 345, KBSE2022-51, pp. 46-51, Jan. 2023. |
Paper # |
KBSE2022-51 |
Date of Issue |
2023-01-12 (KBSE) |
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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KBSE2022-51 |
Conference Information |
Committee |
KBSE |
Conference Date |
2023-01-19 - 2023-01-20 |
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(See Japanese page) |
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Paper Information |
Registration To |
KBSE |
Conference Code |
2023-01-KBSE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A study for using deep learning inference results of program defects in code review checklists |
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code review |
Keyword(2) |
checklist |
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convolutional nural network |
Keyword(4) |
deep learning |
Keyword(5) |
bug inference |
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1st Author's Name |
Kazuhiko Ogawa |
1st Author's Affiliation |
The Open University Of Japan (OUJ) |
2nd Author's Name |
Takako Nakatani |
2nd Author's Affiliation |
The Open University Of Japan (OUJ) |
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Speaker |
Author-1 |
Date Time |
2023-01-20 13:00:00 |
Presentation Time |
45 minutes |
Registration for |
KBSE |
Paper # |
KBSE2022-51 |
Volume (vol) |
vol.122 |
Number (no) |
no.345 |
Page |
pp.46-51 |
#Pages |
6 |
Date of Issue |
2023-01-12 (KBSE) |
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