Tie Strength Metrics to Rank Pairs of Developers from GitHub

Authors

  • Natércia A. Batista Universidade Federal de Minas Gerais
  • Guilherme A. Sousa Universidade Federal de Minas Gerais
  • Michele A. Brandão Universidade Federal de Minas Gerais
  • Ana Paula C. da Silva Universidade Federal de Minas Gerais
  • Mirella Moura Moro Universidade Federal de Minas Gerais

Keywords:

Metrics, Social Networks, Web Data, Web Software Repositores

Abstract

The Web provides huge volumes of data, which makes efficient data collecting and processing not easy tasks. An example of such volumes is in software repositories, a type of Web storage platform for software and projects, their developers and companies. In this work, we first present a systematic literature review over topics related to such repositories.  Then, we extract their data and enrich it by building a development network.   Based on such a network, we investigate tie strength metrics on their capability of defining new information through a correlation analysis. We also use the metrics to rank pairs of developers by considering three different aggregate methods. Our experimental analysis shows different results for each ranking method when considering all pairs of developers, which reveals the difficulty of choosing the best way to rank pairs of developers. However, when considering the top 10 best ranked pairs, two methods present similar results. Also, the combination of tie strength metrics with ranking aggregated methods allows to identify important developers in the network and their collaboration strength.

Author Biography

  • Mirella Moura Moro, Universidade Federal de Minas Gerais
    Mirella M. Moro is an assistant professor at the Computer Science department at UFMG (Belo Horizonte, Brazil). She holds a Ph.D. in Computer Science (University of California Riverside - UCR, 2007), and MSc and BSc in Computer Science as well (UFRGS, Brazil, 2001, 1999). She is the Education Director of SBC (Brazilian Computer Society) and is the editor-in-chief of the new electronic magazine SBC Horizontes, which focuses on career in Computer Science. She is also a member of the ACM Education Council, ACM SIGMOD, ACM SIGCSE, ACM-W, IEEE, IEEE WIE, and MentorNet. Mirella has been working with research in Computer Science in the area of Databases since 1997. Her research interests include hybrid XML/relational modeling, XML query optimization, stream processing, content-based dissemination systems, temporal databases, versioning management, and schema evolution.

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Published

2018-06-20

Issue

Vol. 9 No. 1 (2018): JOURNAL OF INFORMATION AND DATA MANAGEMENT

Section

SBBD 2017