| Presentation | 2014-03-06 Mining of IR method for Traceability Link Recovery Ryohei YUASA, Shinpei OGATA, Haruhiko KAIYA, Kenji KAIJIRI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Reestablishment of traceability link is important in software maintenance. Many methods have been proposed, and several combinations of these methods can be applied, but the adequacy of these combinations depends on the characteristics of target document pair. We have been proposed the mining of adequate combinations. In this paper, we further investigate the possibility of our mining methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Traceability link recovery / method mining / IR |
| Paper # | KBSE2013-83 |
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| Conference Information | |
| Committee | KBSE |
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| Conference Date | 2014/2/27(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Knowledge-Based Software Engineering (KBSE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Mining of IR method for Traceability Link Recovery |
| Sub Title (in English) | |
| Keyword(1) | Traceability link recovery |
| Keyword(2) | method mining |
| Keyword(3) | IR |
| 1st Author's Name | Ryohei YUASA |
| 1st Author's Affiliation | Faculty of Engineering, Shinshu University() |
| 2nd Author's Name | Shinpei OGATA |
| 2nd Author's Affiliation | / / |
| 3rd Author's Name | Haruhiko KAIYA |
| 3rd Author's Affiliation | |
| 4th Author's Name | Kenji KAIJIRI |
| 4th Author's Affiliation | |
| Date | 2014-03-06 |
| Paper # | KBSE2013-83 |
| Volume (vol) | vol.113 |
| Number (no) | 475 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |