Success factors of OSS projects from sourceforge using Datamining Association Rule

Main Authors: Emanuel, Andi Wahju Rahardjo, Wardoyo, Retantyo, Istiyanto, Jazi Eko, Mustofa, Khabib
Format: Proceeding PeerReviewed application/pdf
Bahasa: eng
Terbitan: , 2010
Subjects:
Online Access: https://repository.ugm.ac.id/33142/1/stamp.jsp%3Ftp%3D%26arnumber%3D5952338
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ctrlnum 33142
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>https://repository.ugm.ac.id/33142/</relation><title>Success factors of OSS projects from sourceforge using Datamining Association Rule</title><creator>Emanuel, Andi Wahju Rahardjo</creator><creator>Wardoyo, Retantyo</creator><creator>Istiyanto, Jazi Eko</creator><creator>Mustofa, Khabib</creator><subject>Makalah prosiding</subject><description>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.</description><date>2010-08</date><type>Journal:Proceeding</type><type>PeerReview:PeerReviewed</type><type>File:application/pdf</type><language>eng</language><identifier>https://repository.ugm.ac.id/33142/1/stamp.jsp%3Ftp%3D%26arnumber%3D5952338</identifier><identifier> Emanuel, Andi Wahju Rahardjo and Wardoyo, Retantyo and Istiyanto, Jazi Eko and Mustofa, Khabib (2010) Success factors of OSS projects from sourceforge using Datamining Association Rule. In: Distributed Framework and Applications (DFmA), 2010 International Conference, 2-3 August 2010, Yogyakarta. </identifier><relation>http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;arnumber=5952338</relation><recordID>33142</recordID></dc>
language eng
format Journal:Proceeding
Journal
PeerReview:PeerReviewed
PeerReview
File:application/pdf
File
author Emanuel, Andi Wahju Rahardjo
Wardoyo, Retantyo
Istiyanto, Jazi Eko
Mustofa, Khabib
title Success factors of OSS projects from sourceforge using Datamining Association Rule
publishDate 2010
topic Makalah prosiding
url https://repository.ugm.ac.id/33142/1/stamp.jsp%3Ftp%3D%26arnumber%3D5952338
https://repository.ugm.ac.id/33142/
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5952338
contents 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.
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