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Expert Finding Using Markov Networks in Open Source Communities

  • Matthieu Vergne
  • Angelo Susi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8484)

Abstract

Expert finding aims at identifying knowledgeable people to help in decision processes, such as eliciting or analysing requirements in Requirements Engineering. Complementary approaches exist to tackle specific contexts like in forum-based communities, exploiting personal contributions, or in structured organisations like companies, where the social relationships between employees help to identify experts. In this paper, we propose an approach to tackle a hybrid context like an Open Source Software (OSS) community, which involves forums open to contributors, as well as companies providing OSS-related services. By representing and relating stakeholders, their roles, the topics discussed and the terms used, and by applying inference algorithms based on Markov networks, we are able to rank stakeholders by their inferred level of expertise in one topic or more. Two preliminary experiments are presented to illustrate the approach and to show its potential benefit.

Keywords

Expert Finding Open Source Software Requirements Engineering Markov network 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Matthieu Vergne
    • 1
    • 2
  • Angelo Susi
    • 1
  1. 1.Center for Information and Communication TechnologyFBK-ICTTrentoItaly
  2. 2.Doctoral School in Information and Communication TechnologyTrentoItaly

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