Towards Community and Expert Detection in Open Source Global Development
V. Schettino, Vitor Horta, Marco Antônio Pereira Araújo, Victor Ströele · 2019
Finding experts in certain technologies or modules inside a project on global software development can be a challenge. There is a large pool of developers, with distinct knowledge, availability and goals. Furthermore, work times, dedication and cooperation expertise impact directly willingness and capacity to collaborate. To address this scenario, we propose a collaborative network to find experts within projects that can be helpful to community members. We adopt a clustering algorithm in order to find experts not only with specific knowledge, but also expertise in collaboration on the topics required. We choose a popular open source project from GitHub to evaluate our network and the cluster detection. We present evidence that the detected clusters and core individuals reflect real life communities and influential developers.