Mining Open Source Software (OSS) Data Using Association Rules Network

TitleMining Open Source Software (OSS) Data Using Association Rules Network
Publication TypeConference Paper
Year of Publication2003
AuthorsChawla, S, Arunasalam, B, Davis, JG
Secondary TitleLecture Notes in Computer Science
Volume2637
Pagination461-466
Keywordsarn, association rules, factor analysis, project success, sourceforge, svd
Abstract

The Open Source Software(OSS) movement has attracted considerable attention in the last few years. In this paper we report our results of mining data acquired from SourceForge.net, the largest open source software hosting website. In the process we introduce Association Rules Network(ARN), a (hyper)graphical model to represent a special class of association rules. Using ARNs we discover important relationships between the attributes of successful OSS projects. We verify and validate these relationships using Factor Analysis, a classical statistical technique related to Singular Value Decomposition(SVD).

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