Identificação e visualização de rastros entre artefatos no GitHub

Abstract

GitHub is a repository of open code projects and one of the most utilized tool for organizing and maintaining projects, having a large number of diverse projects, from students projects to governmental information systems. All of those containing vital information for the development and maintenance, such as requirements, tests and bugs. Showing this info in a clear and intelligible way is still a challenge. In this paper we present a solution for this challenge, using an approach that produces a data visualization, its characteristics and relations. Starting from the data available through GitHub we collect and structure the desired info. With this info at hand, we use the graph oriented database platform Neo4j to create a visualization of the data characteristics and relations. With the created visualization we expect to provide the decision and management process of the projects easier and more intuitive. The approach is then validated through an open code project, using requirements as a measurement tool for efficiency.