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

  • Sanjay Chawla
  • Bavani Arunasalam
  • Joseph Davis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2637)

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).

Keywords

Open Source Software Association Rule Networks Hypergraph clustering Factor Analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Sanjay Chawla
    • 1
  • Bavani Arunasalam
    • 1
  • Joseph Davis
    • 1
  1. 1.Knowledge Management Research Group, School of Information TechnologiesUniversity of SydneyAustralia

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