ACADSTAFF UGM
| Title | : | Success Factors of OSS Projects from Souceforge 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 | : | Open Source Software Project,Data mining,2-Itemset Association Rule,Success Factor,sourceforge.net Open Source Software Project,Data mining,2-Itemset Association Rule,Success Factor,sourceforge.net |
| Abstract | : | We present a research to find the success factors of 134,549 Open Source Software (OSS) Projects at sourceforge.net Portal using Data mining 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 Data mining Tool. The Data mining 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 possibility of success of their OSS Projects. |
| Group of Knowledge | : | Lain-Lain |
| Level | : | Internasional |
| Status | : |
Published
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