Padrões de socialização de novatos em projetos de software livre

Abstract

Open source software projects are based on volunteers collaboration and require a continuous influx of newcomers for their continuity. However, newcomers face difficulties and obstacles when starting their contributions. Using an iterative method based upon mining of software repositories and social network analysis, we aim the detection of socialization patterns for newcomers in open source software projects. As research subject, we use the Apache project Hadoop Common. We analysed messages and issues through december 2012. The results point that most newcomers stays for few months in the project, and the few persistent newcomers employ just one interaction method and interact mostly with experienced developers. Due to the small account of fruitfull interactions, we could not detect further socialization patterns.