Success Rules of OSS Projects using Datamining 3-Itemset Association Rule

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-Items...

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Main Authors: Emanuel, Andi Wahju Rahardjo, Wardoyo, Retantyo, Istiyanto, Jazi Eko, Mustofa, Khabib
Format: Article
Language:English
Published: 2010
Subjects:
Online Access:https://repository.ugm.ac.id/33030/1/7-6-71-80.pdf
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author Emanuel, Andi Wahju Rahardjo
Wardoyo, Retantyo
Istiyanto, Jazi Eko
Mustofa, Khabib
author_facet Emanuel, Andi Wahju Rahardjo
Wardoyo, Retantyo
Istiyanto, Jazi Eko
Mustofa, Khabib
author_sort Emanuel, Andi Wahju Rahardjo
collection UGM
description 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.
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spelling oai:generic.eprints.org:330302014-03-17T03:07:28Z https://repository.ugm.ac.id/33030/ Success Rules of OSS Projects using Datamining 3-Itemset Association Rule Emanuel, Andi Wahju Rahardjo Wardoyo, Retantyo Istiyanto, Jazi Eko Mustofa, Khabib Makalah lain-lain 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. 2010-11 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/33030/1/7-6-71-80.pdf Emanuel, Andi Wahju Rahardjo and Wardoyo, Retantyo and Istiyanto, Jazi Eko and Mustofa, Khabib (2010) Success Rules of OSS Projects using Datamining 3-Itemset Association Rule. International Journal of Computer Science Issues, 7 (6). pp. 71-80. ISSN 1694-0784 http://ijcsi.org/contents.php?volume=7&&issue=6
spellingShingle Makalah lain-lain
Emanuel, Andi Wahju Rahardjo
Wardoyo, Retantyo
Istiyanto, Jazi Eko
Mustofa, Khabib
Success Rules of OSS Projects using Datamining 3-Itemset Association Rule
title Success Rules of OSS Projects using Datamining 3-Itemset Association Rule
title_full Success Rules of OSS Projects using Datamining 3-Itemset Association Rule
title_fullStr Success Rules of OSS Projects using Datamining 3-Itemset Association Rule
title_full_unstemmed Success Rules of OSS Projects using Datamining 3-Itemset Association Rule
title_short Success Rules of OSS Projects using Datamining 3-Itemset Association Rule
title_sort success rules of oss projects using datamining 3 itemset association rule
topic Makalah lain-lain
url https://repository.ugm.ac.id/33030/1/7-6-71-80.pdf
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AT mustofakhabib successrulesofossprojectsusingdatamining3itemsetassociationrule