DocumentCode
547179
Title
Success factors of OSS projects from sourceforge using Datamining Association Rule
Author
Emanuel, Andi Wahju Rahardjo ; Wardoyo, Retantyo ; Istiyanto, Jazi Eko ; Mustofa, Khabib
Author_Institution
Fac. of Inf. Technol., Maranatha Christian Univ., Bandung, Indonesia
fYear
2010
fDate
2-3 Aug. 2010
Firstpage
1
Lastpage
8
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.
Keywords
data mining; public domain software; 2-itemset association rule; OSS project success factor; Weka data mining tool; open source software; Association rules; Computer languages; Databases; Licenses; Operating systems; Portals; User interfaces; 2-Itemset Association Rule; Datamining; Open Source Software Project; Success Factor; sourceforge.net;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Framework and Applications (DFmA), 2010 International Conference on
Conference_Location
Yogyakarta
Print_ISBN
978-1-4244-9335-7
Type
conf
Filename
5952338
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