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| Presentation | 2020-03-06 13:00 Training Data Creation Method by PMI using MAP Estimation for the Automatic Test Cases Generation Koki Sato, Yuki Matsumoto (Nihon Univ.), Takeshi Yamada, Kazuhiro Kikuma (NTT Corporation), Kiyoshi Ueda (Nihon Univ.)  NS2019-237 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | NGN which have of the feature both of the internet and the PSTN is required the guarantee of the safety and the social dependence about communication service. To satisfy above requirement, many methods have been proposed and applied so far and we reduce the number of problem in operation. On the other hand, the lengthening and rising development cost which caused by many method applied to the large-scale communication system software development are remained problems. To solve these problems, a method for automatically extract testcases from specification documents was proposed. Among of the method, we propose a method of leaving necessary and deleting unnecessary of training data to improve the performance of machine learning. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Large scale communication system software / Software specification / Automatic software testcase extraction / Machine learning / Pointwise Mutual Information / Maximum a Posteriori Estimate / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 460, NS2019-237, pp. 335-339, March 2020. | |
| Paper # | NS2019-237 | |
| Date of Issue | 2020-02-27 (NS) | |
| 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 | NS2019-237 |
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| Conference Information | |
| Committee | NS IN |
| Conference Date | 2020-03-05 - 2020-03-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Royal Hotel Okinawa Zanpa-Misaki |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2020-03-NS-IN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Training Data Creation Method by PMI using MAP Estimation for the Automatic Test Cases Generation |
| Sub Title (in English) | |
| Keyword(1) | Large scale communication system software |
| Keyword(2) | Software specification |
| Keyword(3) | Automatic software testcase extraction |
| Keyword(4) | Machine learning |
| Keyword(5) | Pointwise Mutual Information |
| Keyword(6) | Maximum a Posteriori Estimate |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Koki Sato |
| 1st Author's Affiliation | Nihon University (Nihon Univ.) |
| 2nd Author's Name | Yuki Matsumoto |
| 2nd Author's Affiliation | Nihon University (Nihon Univ.) |
| 3rd Author's Name | Takeshi Yamada |
| 3rd Author's Affiliation | NTT Network Service Systems Laboratories (NTT Corporation) |
| 4th Author's Name | Kazuhiro Kikuma |
| 4th Author's Affiliation | NTT Network Service Systems Laboratories (NTT Corporation) |
| 5th Author's Name | Kiyoshi Ueda |
| 5th Author's Affiliation | Nihon University (Nihon Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-03-06 13:00:00 |
| Presentation Time | 20 minutes |
| Registration for | NS |
| Paper # | NS2019-237 |
| Volume (vol) | vol.119 |
| Number (no) | no.460 |
| Page | pp.335-339 |
| #Pages | 5 |
| Date of Issue | 2020-02-27 (NS) |
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