Presentation | 2009-11-27 Finding Change impacts on Embedded System Software using Machine Learning Kenichiro HARA, Akira OSADA, Haruhiko KAIYA, Kenji KAIJIRI, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper reports the result of applying information retrieval technology to impact analysis of the embedded software and the result improved by expansion using machine learning. Information retrieval performs support to associate a document with a source code by using keywords and the appearance frequency. We used a keyword appearance pattern for machine learning, and such machine learning technique could improve precision of this impact analysis. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Case Study / Keyword Retrieval / Change Impact Analysis / Traceability / Machine Learning / Decision Tree |
Paper # | KBSE2009-41 |
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Committee | KBSE |
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Conference Date | 2009/11/19(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Finding Change impacts on Embedded System Software using Machine Learning |
Sub Title (in English) | |
Keyword(1) | Case Study |
Keyword(2) | Keyword Retrieval |
Keyword(3) | Change Impact Analysis |
Keyword(4) | Traceability |
Keyword(5) | Machine Learning |
Keyword(6) | Decision Tree |
1st Author's Name | Kenichiro HARA |
1st Author's Affiliation | Faculty of Engineering, Shinshu University() |
2nd Author's Name | Akira OSADA |
2nd Author's Affiliation | Faculty of Engineering, Shinshu University |
3rd Author's Name | Haruhiko KAIYA |
3rd Author's Affiliation | Faculty of Engineering, Shinshu University |
4th Author's Name | Kenji KAIJIRI |
4th Author's Affiliation | Faculty of Engineering, Shinshu University |
Date | 2009-11-27 |
Paper # | KBSE2009-41 |
Volume (vol) | vol.109 |
Number (no) | 307 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |