| Presentation | 2023-03-03 A Method for Selecting Training Data using Doc2Vec for Automatic Test Cases Generation Yuto Fujita, Kiyoshi Ueda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Large-scale Communication Software / Automatic Test Cases Generation / Machine Learning / Doc2Vec |
| Paper # | NS2022-223 |
| Date of Issue | 2023-02-23 (NS) |
| Conference Information | |
| Committee | IN / NS |
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| Conference Date | 2023/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Convention Centre + Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Chair | Kunio Hato(Internet Multifeed) / Tetsuya Oishi(NTT) |
| Vice Chair | Tsutomu Murase(Nagoya Univ.) / Takumi Miyoshi(Shibaura Insti of Tech.) |
| Secretary | Tsutomu Murase(KDDI Research) / Takumi Miyoshi(Nagaoka Univ. of Tech.) |
| Assistant | / Kotaro Mihara(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Information Networks / Technical Committee on Network Systems |
|---|---|
| Language | JPN |
| 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 |
| Sub Title (in English) | |
| Keyword(1) | Large-scale Communication Software |
| Keyword(2) | Automatic Test Cases Generation |
| Keyword(3) | Machine Learning |
| Keyword(4) | Doc2Vec |
| 1st Author's Name | Yuto Fujita |
| 1st Author's Affiliation | Nihon University(Nihon Univ) |
| 2nd Author's Name | Kiyoshi Ueda |
| 2nd Author's Affiliation | Nihon University(Nihon Univ) |
| Date | 2023-03-03 |
| Paper # | NS2022-223 |
| Volume (vol) | vol.122 |
| Number (no) | NS-406 |
| Page | pp.pp.322-327(NS), |
| #Pages | 6 |
| Date of Issue | 2023-02-23 (NS) |