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| Paper Abstract and Keywords | ||
| Presentation | 2019-07-13 14:45 Source Code Evaluation Method by Machine Learning using Source Code Feature Metrics Keisuke Makihara, Makoto Matsushita, Katsuro Inoue (Osaka Univ.)  SS2019-5 KBSE2019-15 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose a method to evaluate source codes quantitively and automatically using machine learning. In this method, we collected source codes from the site of programming contest. We define the higher rank rating as seniors, and the lower rank rating as beginners. We created a learning model using source code features that showed differences between the two. As a result of implementing this method and classifying source codes as seniors or beginners, it was possible to judge source code of senior or beginner with 90% accuracy. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Programming contest / Rating / Machine Learning / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 112, SS2019-5, pp. 105-110, July 2019. | |
| Paper # | SS2019-5 | |
| Date of Issue | 2019-07-05 (SS, 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 | SS2019-5 KBSE2019-15 |
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| Conference Information | |
| Committee | KBSE SS IPSJ-SE |
| Conference Date | 2019-07-12 - 2019-07-14 |
| 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 | 2019-07-KBSE-SS-SE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Source Code Evaluation Method by Machine Learning using Source Code Feature Metrics |
| Sub Title (in English) | |
| Keyword(1) | Programming contest |
| Keyword(2) | Rating |
| Keyword(3) | Machine Learning |
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| 1st Author's Name | Keisuke Makihara |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Makoto Matsushita |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
| 3rd Author's Name | Katsuro Inoue |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-07-13 14:45:00 |
| Presentation Time | 25 minutes |
| Registration for | SS |
| Paper # | SS2019-5, KBSE2019-15 |
| Volume (vol) | vol.119 |
| Number (no) | no.112(SS), no.113(KBSE) |
| Page | pp.105-110 |
| #Pages | 6 |
| Date of Issue | 2019-07-05 (SS, KBSE) |
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