Success Factors of Open Source Software Projects using Datamining Technique
Jazi Eko Istiyanto, Andi Wahju, Rahardjo Emanuel · 2009
We present a research to find the success factors of 5000 most-downloaded Open Source projects at sourceforge.net website. The common parameters of these projects such as rank, download, activity, members, translation, operating systems, license, programming language, user interface, topic, and duration are extracted and classified into a Database. The Association Rule Datamining technique is used to find the rules that determines the success factors of the Open Source project using Weka Datamining tool. These useful rules is then interpreted as the success factors that may be enforced by future initiator of Open Source project in order to be successful. The study find some interesting results in which these success factors may or may not be influenced directly by the project's initiator and other project's members.