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.
The Gender Equals Future project, led by the University of Namur and conducted in collaboration with Interface3.Namur and Form@Nam, is part of the Woman In Digital plan of the SPF Economie.
The CyberExcellence project started in January 2022 under the umbrella of the CyberWal initiative and is funded by the Walloon region. It aims to position Wallonia as a major player in cybersecurity on the national and international map by developing a core framework allowing the implementation of solutions based on practical and thoughtful cybersecurity with a competitive advantage.
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 goals of this master thesis is to define an extendable meta-model and associated DSL to describe high-level test requirements and their (optionally) associated assertions for Java programs.
ARIAC by DigitalWallonia4.ai is a research project funded by the Wallonia region bringing together the five French-speaking universities and four Walloon research centres with the primary objective to accelerate the development of artificial intelligence technologies in Wallonia.
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.