Extracting, Identifying and Visualisation of the Content, Users and Authors in Software Projects

The paper proposes a method for extracting, identifying and visualisation of topics, code tiers, users and authors in software projects. In addition to standard information retrieval techniques, we use AST for source code and WordNet ontology to enrich document vectors extracted from parsed code, LSI to reduce its dimensionality and the swarm intelligence in the bee behaviour inspired algorithms to cluster documents contained in it. We extract topics from the identified clusters and visualise them in 3D graphs. Developers within and outside the teams can receive and utilize visualized information from the code and apply them to their projects. This new level of aggregated 3D visualization improves refactoring, source code reusing, implementing new features and exchanging knowledge.