Publication Type

Conference Proceeding Article

Version

Postprint

Publication Date

10-2011

Abstract

Many software developments involve collaborations of developers across the globe. This is true for both open-source and closed-source development efforts. Developers collaborate on different projects of various types. As with any other teamwork endeavors, finding compatibility among members in a development team is helpful towards the realization of the team’s goal. Compatible members tend to share similar programming style and naming strategy, communicate well with one another, etc. However, finding the right person to work with is not an easy task. In this work, we extract information available from Sourceforge.Net, the largest database of open source software, and build developer collaboration network comprising of information on developers, projects, and project properties. Based on an input developer, we then recommend a list of top developers that are most compatible based on their programming language skills, past projects and project categories they have worked on before, via a random walk with restart procedure. Our quantitative and qualitative experiments show that we are able to recommend reasonable developer candidates from snapshots of Sourceforge.Net consisting of tens of thousands of developers and projects, and hundreds of project properties.

Keywords

Developer Collaboration Network, Randow Walk with Restart, Recommendation Tool, DPP Graph

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

18th Working Conference on Reverse Engineering (WCRE 2011): Limerick, Ireland, 17-20 October: Proceedings

First Page

379

Last Page

388

ISBN

9781457719486

Identifier

10.1109/WCRE.2011.53

Publisher

IEEE

City or Country

Piscataway, NJ

Copyright Owner and License

Authors

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

https://doi.org/10.1109/WCRE.2011.53

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