Colloquium Computer Science - Danilo Coimbra, Federal University of Bahia

Title: Visual Analytics to Support the Visual Exploration of Technical Debts in Software Repositories

Abstract:

The widespread adoption of digital technologies has led to the massive generation and consumption of data on a global scale. Consequently, there is a growing need for analytical methods that can assist users in gaining a deeper understanding of this data. An inherent challenge in this context is the analysis of large volume and complex datasets, as often found in software repositories. Areas like Software Visualization and Visual Software Analytics have gained prominence in supporting software developers by providing visual representations of the entire software development process. These graphical representations facilitate the extraction of valuable information, especially when it comes to addressing technical debt during system maintenance. Despite the fact that repositories primarily consist of multidimensional data, there is a shortage of research that applies multidimensional visualizations to identify and monitor distinct groups of technical debts. In this presentation we propose an approach based on Visual Analytics consisting of multiple coordinated multidimensional visualizations for the analysis of different groups of technical debts in software repositories. Our primary aim is to uncover and track the visual correlations, structures, evolutions, and similarities among technical debts in open-source software repositories.

Short Bio: Danilo Coimbra is an Assistant Professor at the Department of Computer Science in Federal University of Bahia-UFBA (Brazil). He obtained a double degree PhD in Computer Science at University of São Paulo (Brazil) and University of Groningen (2016). His main research interests include, but are not limited to, Multidimensional Visualization, Visual Data Analysis, and more recently, Explainable AI (XAI) and Sports Visualization.