ACADSTAFF UGM
| Title | : | Success factors of OSS projects from sourceforge using Datamining Association Rule |
| Author | : |
ANDI WAHJU RAHARDJO. E (1) Prof. Drs. Retantyo Wardoyo, M.Sc., Ph.D. (2) Prof. Dr. Ir. Jazi Eko Istiyanto, M.Sc. (3) Dr. techn. Khabib Mustofa, S.Si., M.Kom. (4) |
| Date | : | 0 2010 |
| Keyword | : | 2-Itemset Association Rule,Datamining,Open Source Software Project,sourceforge.net,Success Factor 2-Itemset Association Rule,Datamining,Open Source Software Project,sourceforge.net,Success Factor |
| Abstract | : | We present a research to find the success factors of 134,549 Open Source Software (OSS) Projects at sourceforge.net portal using Datamining 2-Itemset Association Rule. Data from each OSS Project i.e. project's audience, database environment, description, developer, development status, download, filename, file size, operating system, programming language, review, thumb (up and down), topic, translation, and user interface are collected and then stored into database to be analyzed using Weka Datamining Tool. The Datamining Association Rule is used to find the success factors of these projects by assuming that the success is reflected by the number of downloads. The success factors of these OSS Projects are found by performing 2-Itemset Association Rules. The result is then formulated into six success factors that should be utilized by future initiators and other developers of OSS Project to increase the possibilty of success of their OSS Projects. © 2010 University Sains Malaysia. |
| Group of Knowledge | : | |
| Level | : | Internasional |
| Status | : |
Published
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| No | Title | Action |
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| 1 |
Success Factors of OSS Projects from Sourceforge.pdf
Document Type : [PAK] Full Dokumen
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View |
| 2 |
45_ success-factors-of-oss-projects-from-sourceforge_.pdf
Document Type : [PAK] Full Dokumen
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View |
| 3 |
Success Factors of OSS Projects from Sourceforge using Datamining Association Rule.pdf
Document Type : Cek Similarity
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