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Network Analysis of Software Repositories: Identifying Subject Matter Experts

  • Andrew Dittrich
  • Mehmet Hadi Gunes
  • Sergiu Dascalu
Part of the Studies in Computational Intelligence book series (SCI, volume 424)

Abstract

A software developer joining a large software project faces a steep learning curve before they are able to make real contributions. One challenge is finding the subject matter experts who can answer questions about a specific area of the software or to review changes. This is especially true of large projects with many modules and a large number of authors. In this paper, we describe a method to model a software project as a network using information mined from the project’s version control repository, and demonstrate how network analysis techniques can be used to identify the key authors and subject matter experts. We investigate metrics that can be gathered using network analysis, such as which groups of authors typically work together, and how closely knit the developers are on a project. We analyze several specific projects to demonstrate the applicability of these techniques and several hundred projects to show general trends.

Keywords

Bipartite Graph Software Project Subject Matter Expert Eigenvector Centrality Anonymous User 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Andrew Dittrich
    • 1
  • Mehmet Hadi Gunes
    • 1
  • Sergiu Dascalu
    • 1
  1. 1.University of NevadaRenoUSA

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