| Presentation | 2005-06-23 Self-proliferate software product diagnosis system Kenji KAIJIRI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We survey the researches about software product diagnosis and propose a self-proliferate software product diagnosis system. In order to make intelligent diagnosis about software products, a kind of knowledge base is indispensable, but the construction of such knowledge base is labor-intensive, so intelligent diagnosis is not done usually. We propose an incremental knowledge base construction method. In this method at first, teachers diagnose products by themselves but these diagnosis knowledges are stored automatically in the diagnosis data base and are used for diagnosis. After a certain repetition, enough knowledge will be store and engagement of teachers become needless. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | software product / diagnosis |
| Paper # | SS2005-17 |
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| Conference Information | |
| Committee | SS |
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| Conference Date | 2005/6/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Software Science (SS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Self-proliferate software product diagnosis system |
| Sub Title (in English) | |
| Keyword(1) | software product |
| Keyword(2) | diagnosis |
| 1st Author's Name | Kenji KAIJIRI |
| 1st Author's Affiliation | Faculty of Engineering, Shinshu University() |
| Date | 2005-06-23 |
| Paper # | SS2005-17 |
| Volume (vol) | vol.105 |
| Number (no) | 128 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |