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| Presentation | 2015-03-09 16:35 An Approach for Abbreviated Identifier Expansion with Machine Learning Hideki Okajima, Osamu Mizuno (Kyoto Inst. Tech.)  SS2014-68 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The readability of source code is a crucial factor on software development and maintenance. Identifier is a essential clue to understand the content of source code, but identifiers are often abbreviated to short form by programmers. Unreason- able abbreviation causes hindrance to understanding for readers faced with unfamiliar code. This paper presents an approach for expanding identifiers using a tool “word2vec.” The word2vec is a tool to learn the vector representations of the words in documents by deep learning. In this approach, the candidates of original identifier by transforming source code to the vector representation of identifiers and comparing short identifiers vector with long one are determined. The process on code of open source software repositories is evaluated and it is indicated that the proposed approach is able to successfully expand many abbreviated identifiers compares favourably with previous works. The present approach suggests some similar meaningful identifiers, of abbreviations can’t expand correctly. Therefore it is concluded that the present approach is helpful for reading source code. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | word2vec / software repository mining / machine larning / identifiers / restoration / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 510, SS2014-68, pp. 79-84, March 2015. | |
| Paper # | SS2014-68 | |
| Date of Issue | 2015-03-02 (SS) | |
| ISSN | Print edition: ISSN 0913-5685 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 | SS2014-68 |
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| Conference Information | |
| Committee | SS |
| Conference Date | 2015-03-09 - 2015-03-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | OKINAWAKEN SEINENKAIKAN |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SS |
| Conference Code | 2015-03-SS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Approach for Abbreviated Identifier Expansion with Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | word2vec |
| Keyword(2) | software repository mining |
| Keyword(3) | machine larning |
| Keyword(4) | identifiers |
| Keyword(5) | restoration |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Hideki Okajima |
| 1st Author's Affiliation | Kyoto Institute of Technology (Kyoto Inst. Tech.) |
| 2nd Author's Name | Osamu Mizuno |
| 2nd Author's Affiliation | Kyoto Institute of Technology (Kyoto Inst. Tech.) |
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| Speaker | Author-1 |
| Date Time | 2015-03-09 16:35:00 |
| Presentation Time | 25 minutes |
| Registration for | SS |
| Paper # | SS2014-68 |
| Volume (vol) | vol.114 |
| Number (no) | no.510 |
| Page | pp.79-84 |
| #Pages | 6 |
| Date of Issue | 2015-03-02 (SS) |
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