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| Paper Abstract and Keywords | ||
| Presentation | 2024-03-15 14:50 Learning data creation support tool for learning program defects using images Kazuhiko Ogawa, Takako Nakatani (OUJ)  KBSE2023-89 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We have developed CNN-BI system that learns and infers defects from the images of programs. This paper introduces a tool to efficiently create training data, which was an issue when developing the CNN-BI system, and reports on the effectiveness of this tool. This tool is automatically outputs large amounts of learning data. It has a function to set parameters for creating images, a function to compare the program history, determine whether the learning data contains program defects, and label it. As a result of creating training data using this tool, we confirmed that the effort required was reduced compared to when no tool was used. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | deep learning / automatic creation of training data / automate labeling / bug inference / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 443, KBSE2023-89, pp. 132-137, March 2024. | |
| Paper # | KBSE2023-89 | |
| Date of Issue | 2024-03-07 (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) | |
| Download PDF | KBSE2023-89 |
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| Conference Information | |
| Committee | KBSE |
| Conference Date | 2024-03-14 - 2024-03-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Prefectual General Welfare Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | KBSE |
| Conference Code | 2024-03-KBSE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Learning data creation support tool for learning program defects using images |
| Sub Title (in English) | |
| Keyword(1) | deep learning |
| Keyword(2) | automatic creation of training data |
| Keyword(3) | automate labeling |
| Keyword(4) | 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 | 2024-03-15 14:50:00 |
| Presentation Time | 25 minutes |
| Registration for | KBSE |
| Paper # | KBSE2023-89 |
| Volume (vol) | vol.123 |
| Number (no) | no.443 |
| Page | pp.132-137 |
| #Pages | 6 |
| Date of Issue | 2024-03-07 (KBSE) |
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