Research Projects

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Raising developers' awareness of source code energy consumption

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. To address this problem, we want to build a theory that binds the evolution of a source code to its energy consumption profile. This relies on the measurement of the energy consumption evolution of multiple projects using repository mining approaches, the analysis of the reasons for this evolution, the design of proper data visualization to make this information available for the developers, and the evaluation of these objectives through the development of a framework for developers. This theory and the associated framework may help developers have better knowledge of the energy consumption evolution of their software and tools to reduce its consumption.

Gender Equals Future: 011 for IT

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. More specifically, it studies the influence of teaching methods and environmental factors on girls and women in STEM disciplines and ICT programs. The final objective is to formulate suggestions and recommendations for educational institutions in order to foster access and retention of women in STEM disciplines and promote gender equality.

Gender Equals Future: 011 for IT
CyberExcellence
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.
CyberExcellence
Defining software debt, an expanded and multidimensional view of socio-technical debt in industry
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.
Defining software debt, an expanded and multidimensional view of socio-technical debt in industry
ARIAC
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.
ARIAC
Cognitive biases, minorities, and influence on sotware development methods
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.

Recent Publications

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Thibault Septon, Santiago Villarreal Narvaez, Xavier Devroey, Bruno Dumas (2024). Exploiting Semantic Search and Object-Oriented Programming to Ease Multimodal Interface Development. Companion of the 16th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS Companion ‘24).

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Martin Balfroid, Benoît Vanderose, Xavier Devroey (2024). Towards LLM-Generated Code Tours for Onboarding. Proceedings of the 2024 ACM/IEEE International Workshop on NL-based Software Engineering (NLBSE ‘24).

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Nicolas Riquet, Xavier Devroey, Benoît Vanderose (2024). Debt Stories: Capturing Social and Technical Debt in the Industry. International Conference on Technical Debt (TechDebt ‘24).

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Sophie Fortz, Paul Temple, Xavier Devroey, Patrick Heymans, Gilles Perrouin (2024). VaryMinions: Leveraging RNNs to Identify Variants in Variability-intensive Systems' Logs. Empirical Software Engineering.

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Sophie Fortz, Paul Temple, Xavier Devroey, Gilles Perrouin (2024). Towards Feature-based ML-enabled Behaviour Location. Proceedings of the 18th International Working Conference on Variability Modelling of Software-Intensive Systems (VaMoS 2024).

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