A Framework to Communicate Software Engineering Data Effectively with Dashboards

Different approaches have been explored to capture Software Engineering (SE) data and to understand which indica-tors or metrics are essential to be observed in this process. How-ever, the presentation of this data using Information Visualization (InfoVis) systems, such as Dashboards, must be carried out more effectively. Dashboard users often face challenges interpreting the essence of the presented information. Moreover, keeping this audience engaged and leading them to act is still an open topic for investigation. Hence, my research investigates how SE data can be communicated to inform and inspire meaningful actions in a software development organization. The expected contributions are threefold: (1) an overview of the current state of how SE data is communicated across the industry; (2) an exploration of Info Vis approaches combined with a set of practices that can be extended for different applications; and (3) a theoretical framework to guide how SE data can be effectively communicated using Dashboards.