| Presentation | 2021-03-06 ベイズ統計機械学習を用いたオープンソースソフトウェア信頼度評価法の提案 Toru Sugiyama, Takako Nakatani, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, the use of open source software (OSS) in product software has been increasing in the industrial world, but it is said that there are issues in quality, especially in reliability. However, it has been pointed out that existing software reliability models, especially dynamic reliability models, are not suitable for the development style specific to OSS. Therefore, we proposed a reliability model based on a state-space model and Bayesian statistical machine learning as a dynamic reliability model that takes into account the development style unique to OSS, and predicted the number of actual OSS failures. The prediction results using the proposed method were compared with the results of similar prediction using a conventional dynamic reliability model, and the results were evaluated. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | open source software / software reliability model / state-space model / bayesian machine learning / software engineering / Bayesian statistical modeling |
| Paper # | KBSE2020-46 |
| Date of Issue | 2021-02-26 (KBSE) |
| Conference Information | |
| Committee | KBSE |
|---|---|
| Conference Date | 2021/3/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hiroyuki Nakagawa(Osaka Univ.) |
| Vice Chair | Takuya Saruwatari(NTT Data) |
| Secretary | Takuya Saruwatari(OKI) |
| Assistant | Shinpei Ogata(Shinshu Univ.) / Erina Nakihara(Doshisha Univ,) |
| Paper Information | |
| Registration To | Technical Committee on Knowledge-Based Software Engineering |
|---|---|
| Language | JPN-ONLY |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | |
| Sub Title (in English) | |
| Keyword(1) | open source software |
| Keyword(2) | software reliability model |
| Keyword(3) | state-space model |
| Keyword(4) | bayesian machine learning |
| Keyword(5) | software engineering |
| Keyword(6) | Bayesian statistical modeling |
| 1st Author's Name | Toru Sugiyama |
| 1st Author's Affiliation | The Open University of Japan(OUJ) |
| 2nd Author's Name | Takako Nakatani |
| 2nd Author's Affiliation | The Open University of Japan(OUJ) |
| Date | 2021-03-06 |
| Paper # | KBSE2020-46 |
| Volume (vol) | vol.120 |
| Number (no) | KBSE-423 |
| Page | pp.pp.71-76(KBSE), |
| #Pages | 6 |
| Date of Issue | 2021-02-26 (KBSE) |