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Mining Collaboration Patterns from a Large Developer Network | IEEE Conference Publication | IEEE Xplore

Mining Collaboration Patterns from a Large Developer Network

Publisher: IEEE

Abstract:

In this study, we extract patterns from a large developer collaborations network extracted from Source Forge. Net at high and low level of details. At the high level of d...View more

Abstract:

In this study, we extract patterns from a large developer collaborations network extracted from Source Forge. Net at high and low level of details. At the high level of details, we extract various network-level statistics from the network. At the low level of details, we extract topological sub-graph patterns that are frequently seen among collaborating developers. Extracting sub graph patterns from large graphs is a hard NP-complete problem. To address this challenge, we employ a novel combination of graph mining and graph matching by leveraging network-level properties of a developer network. With the approach, we successfully analyze a snapshot of Source Forge. Net data taken on September 2009. We present mined patterns and describe interesting observations.
Date of Conference: 13-16 October 2010
Date Added to IEEE Xplore: 29 November 2010
Print ISBN:978-1-4244-8911-4

ISSN Information:

Publisher: IEEE
Conference Location: Beverly, MA, USA

I. Introduction

With the advent of communication devices, distant locations do not hamper people to collaborate. Many projects involve participants from diverse locations. Some of which might be at the opposite ends of the globe. This is certainly the case with software development.

References

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