Mining collaboration patterns from a large developer network

Didi Surian; David Lo; Ee Peng Lim

doi:10.1109/WCRE.2010.38

Mining collaboration patterns from a large developer network

Didi Surian^*, David Lo, Ee Peng Lim

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

44 Citations (Scopus)

Abstract

In this study, we extract patterns from a large developer collaborations network extracted from SourceForge.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 subgraph 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 SourceForge.Net data taken on September 2009. We present mined patterns and describe interesting observations.

Original language	English
Title of host publication	Proceedings - 17th Working Conference on Reverse Engineering, WCRE 2010
Editors	Guiliano Antoniol, Martin Pinzger, Elliot Chikofsky
Place of Publication	Beverly, MA, United States
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	269-273
Number of pages	5
ISBN (Electronic)	9780769541235
ISBN (Print)	9781424489114
DOIs	https://doi.org/10.1109/WCRE.2010.38
Publication status	Published - 2010
Externally published	Yes
Event	17th Working Conference on Reverse Engineering, WCRE 2010 - Beverly, MA, United States Duration: 13 Oct 2010 → 16 Oct 2010

Other

Other	17th Working Conference on Reverse Engineering, WCRE 2010
Country/Territory	United States
City	Beverly, MA
Period	13/10/10 → 16/10/10

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10.1109/WCRE.2010.38

Cite this

@inproceedings{48bfdfed24194136903248e487b2abe1,

title = "Mining collaboration patterns from a large developer network",

abstract = "In this study, we extract patterns from a large developer collaborations network extracted from SourceForge.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 subgraph 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 SourceForge.Net data taken on September 2009. We present mined patterns and describe interesting observations.",

author = "Didi Surian and David Lo and Lim, {Ee Peng}",

year = "2010",

doi = "10.1109/WCRE.2010.38",

language = "English",

isbn = "9781424489114 ",

pages = "269--273",

editor = "Guiliano Antoniol and Martin Pinzger and Elliot Chikofsky",

booktitle = "Proceedings - 17th Working Conference on Reverse Engineering, WCRE 2010",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "17th Working Conference on Reverse Engineering, WCRE 2010 ; Conference date: 13-10-2010 Through 16-10-2010",

}

Surian, D, Lo, D & Lim, EP 2010, Mining collaboration patterns from a large developer network. in G Antoniol, M Pinzger & E Chikofsky (eds), Proceedings - 17th Working Conference on Reverse Engineering, WCRE 2010., 5645568, Institute of Electrical and Electronics Engineers (IEEE), Beverly, MA, United States, pp. 269-273, 17th Working Conference on Reverse Engineering, WCRE 2010, Beverly, MA, United States, 13/10/10. https://doi.org/10.1109/WCRE.2010.38

Mining collaboration patterns from a large developer network. / Surian, Didi; Lo, David; Lim, Ee Peng.

Proceedings - 17th Working Conference on Reverse Engineering, WCRE 2010. ed. / Guiliano Antoniol; Martin Pinzger; Elliot Chikofsky. Beverly, MA, United States : Institute of Electrical and Electronics Engineers (IEEE), 2010. p. 269-273 5645568.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Mining collaboration patterns from a large developer network

AU - Surian, Didi

AU - Lo, David

AU - Lim, Ee Peng

PY - 2010

Y1 - 2010

N2 - In this study, we extract patterns from a large developer collaborations network extracted from SourceForge.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 subgraph 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 SourceForge.Net data taken on September 2009. We present mined patterns and describe interesting observations.

AB - In this study, we extract patterns from a large developer collaborations network extracted from SourceForge.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 subgraph 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 SourceForge.Net data taken on September 2009. We present mined patterns and describe interesting observations.

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U2 - 10.1109/WCRE.2010.38

DO - 10.1109/WCRE.2010.38

M3 - Conference proceeding contribution

AN - SCOPUS:78650645433

SN - 9781424489114

SP - 269

EP - 273

BT - Proceedings - 17th Working Conference on Reverse Engineering, WCRE 2010

A2 - Antoniol, Guiliano

A2 - Pinzger, Martin

A2 - Chikofsky, Elliot

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Beverly, MA, United States

T2 - 17th Working Conference on Reverse Engineering, WCRE 2010

Y2 - 13 October 2010 through 16 October 2010

ER -

Mining collaboration patterns from a large developer network

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