Success Rules of OSS Projects using Datamining 3-Itemset Association Rule
| Main Authors: | Emanuel, Andi Wahju Rahardjo, Wardoyo, Retantyo, Istiyanto, Jazi Eko, Mustofa, Khabib |
|---|---|
| Format: | Article PeerReviewed application/pdf |
| Bahasa: | eng |
| Terbitan: |
, 2010
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/33030/1/7-6-71-80.pdf https://repository.ugm.ac.id/33030/ http://ijcsi.org/contents.php?volume=7&&issue=6 |
Daftar Isi:
- We present a research to find the success rules of 134,549 Open Source Software (OSS) Projects at Sourceforge portal using Datamining 3-Itemset Association Rule. Seventeen types of OSS Project's data are collected, classified, and then analyzed using Weka datamining tool. The Datamining 3-Itemset Association Rule is used to find the success rules of these projects by assuming that the success of these projects are reflected by the number of downloads. The result are formulated into 9 success rules that may be used as guidelines by future initiators of OSS Project and other developers to increase the possibility of success of their projects.