Paper Abstract and Keywords |
Presentation |
2023-03-03 09:30
A Method for Selecting Training Data using Doc2Vec for Automatic Test Cases Generation Yuto Fujita, Kiyoshi Ueda (Nihon Univ) NS2022-223 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In software development, research has been conducted to automate the process of extracting test cases for comprehensive/stability tests from specifications. In this paper, we propose a method to improve the correctness rate of automatic tagging by improving the quality of correct answer data (teacher data) for training machine learning using Doc2Vec. The correct response rate before changing the window value was higher than that after changing the window value. In the experiment using PV-DBOW, the correct response rate was higher than that using PV-DM. This confirms the effectiveness of the proposed method. Experiments were also conducted with different specifications in order to confirm the effectiveness of the proposed method for a wide variety of specifications. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Large-scale Communication Software / Automatic Test Cases Generation / Machine Learning / Doc2Vec / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 406, NS2022-223, pp. 322-327, March 2023. |
Paper # |
NS2022-223 |
Date of Issue |
2023-02-23 (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) |
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NS2022-223 |
Conference Information |
Committee |
IN NS |
Conference Date |
2023-03-02 - 2023-03-03 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Okinawa Convention Centre + Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
General |
Paper Information |
Registration To |
NS |
Conference Code |
2023-03-IN-NS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Method for Selecting Training Data using Doc2Vec for Automatic Test Cases Generation |
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Large-scale Communication Software |
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Automatic Test Cases Generation |
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Machine Learning |
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Doc2Vec |
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1st Author's Name |
Yuto Fujita |
1st Author's Affiliation |
Nihon University (Nihon Univ) |
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Kiyoshi Ueda |
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Nihon University (Nihon Univ) |
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Speaker |
Author-1 |
Date Time |
2023-03-03 09:30:00 |
Presentation Time |
20 minutes |
Registration for |
NS |
Paper # |
NS2022-223 |
Volume (vol) |
vol.122 |
Number (no) |
no.406 |
Page |
pp.322-327 |
#Pages |
6 |
Date of Issue |
2023-02-23 (NS) |
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