In recent years, sustainability concerns have emerged in the software engineering community. However, little research focuses on the link between the evolution of a source code and energy consumption. Consequently, most developers don’t know the energy consumption of their software during its development.
This project aims at developing a holistic approach to socio-technical debt by designing a framework for helping developers and managers to address software debt and prioritize mitigating actions in an industrial context.
The project's general purpose is to be able to highlight certain cognitive biases in our self-perception, our performance and our decision-making. The project initially aims to identify the different cognitive biases that may exist in different contexts, depending on group membership, etc. These cognitive biases identified, an attempt to measure them will be carried out to then highlight them in the eyes of those who experience them. Finally, the creation of tools and techniques to limit the impact of cognitive biases could be evaluated.