| Presentation | 2005-04-22 Mining "Concept Keywords" Technique from Identifiers for Program Understanding Masaru OHBA, Katsuhiko GONDOW, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose the Concept Keyword Term Frequency/Inverse Document Frequency (ckTF/IDF) method as a novel technique to efficiency mine concept keywords from identifiers in large software projects. ckTF/IDF is suitable for mining concept keywords, since the ckTF/IDF is more lightweight than the TF/IDF method, and the ckTF/IDF's heuristics is tuned for identifiers in programs. We then experimentally apply the ckTF/IDF to our educational operating system udos, consisting of around 5, 000 lines in C code, which produced promising results;the udos's source code was processed in 2.8 seconds with an accuracy of around 57%. This preliminary result suggests that our approach is useful for mining concept keywords from identifiers, although we need more research and experience. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Concept keywords / Program understanding / Identifier / TF/IDF |
| Paper # | SS2005-5 |
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| Conference Information | |
| Committee | SS |
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| Conference Date | 2005/4/14(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) | Mining "Concept Keywords" Technique from Identifiers for Program Understanding |
| Sub Title (in English) | |
| Keyword(1) | Concept keywords |
| Keyword(2) | Program understanding |
| Keyword(3) | Identifier |
| Keyword(4) | TF/IDF |
| 1st Author's Name | Masaru OHBA |
| 1st Author's Affiliation | Tokyo Institute of Technology() |
| 2nd Author's Name | Katsuhiko GONDOW |
| 2nd Author's Affiliation | Tokyo Institute of Technology |
| Date | 2005-04-22 |
| Paper # | SS2005-5 |
| Volume (vol) | vol.105 |
| Number (no) | 24 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |