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| Presentation | 2022-03-07 18:00 Extracting Optimal Query Keywords from Bug Report for IR-based Bug Localization Kazuki Hayashi, Takashi Kobayashi (Tokyo Tech.)  SS2021-56 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Bug Localization is a field that is researched to support locating bugs in software programs. Recent research created optimal search queries that provide accurate localization results by using the bug locations as prior knowledge, to prove the usefulness for this field of research and to evaluate the empirical knowledge from related works. However, this research could not provide a method to create these optimal queries without prior knowledge of the bug location. In this research, we will analyze the property of these optimal queries based on provenance in bug reports and natural language. We will use our analysis to propose our method that will replicate these optimal queries. Conducting the analysis, we found that optimal queries have traits related to provenance in bug reports and natural language. The resulting proposed method could replicate optimal queries better than existing methods. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Natural Language Processing / Query Reformation / Bug Localization / Software maintenance / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 416, SS2021-56, pp. 84-89, March 2022. | |
| Paper # | SS2021-56 | |
| Date of Issue | 2022-02-28 (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) | |
| Notes on Review | This article is a technical report without peer review, and its polished version will be published elsewhere. | |
| Download PDF | SS2021-56 |
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| Conference Information | |
| Committee | SS |
| Conference Date | 2022-03-07 - 2022-03-08 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Software Science etc. |
| Paper Information | |
| Registration To | SS |
| Conference Code | 2022-03-SS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Extracting Optimal Query Keywords from Bug Report for IR-based Bug Localization |
| Sub Title (in English) | |
| Keyword(1) | Natural Language Processing |
| Keyword(2) | Query Reformation |
| Keyword(3) | Bug Localization |
| Keyword(4) | Software maintenance |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kazuki Hayashi |
| 1st Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech.) |
| 2nd Author's Name | Takashi Kobayashi |
| 2nd Author's Affiliation | Tokyo Institute of Technology (Tokyo Tech.) |
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| Speaker | Author-1 |
| Date Time | 2022-03-07 18:00:00 |
| Presentation Time | 25 minutes |
| Registration for | SS |
| Paper # | SS2021-56 |
| Volume (vol) | vol.121 |
| Number (no) | no.416 |
| Page | pp.84-89 |
| #Pages | 6 |
| Date of Issue | 2022-02-28 (SS) |
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