| Presentation | 2019-01-18 Training Data Creation Method for Machine Learning Performance Improvement in the Software Development Efficiency Technique Koki Sato, Takeshi Yamada, Kazuhiro Kikuma, Kiyoshi Ueda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Large scale communication system software / Software specification / Automatic software testcase extractopm / Machine learning |
| Paper # | NS2018-184 |
| Date of Issue | 2019-01-10 (NS) |
| Conference Information | |
| Committee | NS |
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| Conference Date | 2019/1/17(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagasaki Prefectural Art Museum |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Network software (Software Architecture, Middleware), Network Application, SOA/SDP, NGN/IMS/API, Distributed control/Dynamic routing, Grid, Network/System reliability, Network/System evaluation, etc. |
| Chair | Yoshikatsu Okazaki(NTT) |
| Vice Chair | Akihiro Nakao(Univ. of Tokyo) |
| Secretary | Akihiro Nakao(NTT) |
| Assistant | Kenichi Kashibuchi(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Training Data Creation Method for Machine Learning Performance Improvement in the Software Development Efficiency Technique |
| Sub Title (in English) | |
| Keyword(1) | Large scale communication system software |
| Keyword(2) | Software specification |
| Keyword(3) | Automatic software testcase extractopm |
| Keyword(4) | Machine learning |
| 1st Author's Name | Koki Sato |
| 1st Author's Affiliation | Nihon University(Nihon Univ.) |
| 2nd Author's Name | Takeshi Yamada |
| 2nd Author's Affiliation | NTT Network Service Systems Laboratories(NTT) |
| 3rd Author's Name | Kazuhiro Kikuma |
| 3rd Author's Affiliation | NTT Network Service Systems Laboratories(NTT) |
| 4th Author's Name | Kiyoshi Ueda |
| 4th Author's Affiliation | Nihon University(Nihon Univ.) |
| Date | 2019-01-18 |
| Paper # | NS2018-184 |
| Volume (vol) | vol.118 |
| Number (no) | NS-392 |
| Page | pp.pp.35-40(NS), |
| #Pages | 6 |
| Date of Issue | 2019-01-10 (NS) |