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.
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.
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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Xavier Devroey, Alessio Gambi, Juan Pablo Galeotti, René Just, Fitsum Kifetew, Annibale Panichella, Sebastiano Panichella (2022). JUGE: An infrastructure for benchmarking Java unit test generators. Software Testing, Verification and Reliability.

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Pierre Ortegat, Benoît Vanderose, Xavier Devroey (2022). Towards Automated Testing for Simple Programming Exercises. Proceedings of the 4th International Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI ‘22).

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Pouria Derakhshanfar, Xavier Devroey, Annibale Panichella, Andy Zaidman, Arie van Deursen (2022). Generating Class-Level Integration Tests Using Call Site Information. IEEE Transactions on Software Engineering.

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Pouria Derakhshanfar, Xavier Devroey, Andy Zaidman (2022). Basic block coverage for search-based unit testing and crash reproduction. Empirical Software Engineering.

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Nicolas Riquet, Xavier Devroey, Benoît Vanderose (2022). GitDelver Enterprise Dataset (GDED): An Industrial Closed-source Dataset for Socio-Technical Research. 19th International Conference on Mining Software Repositories (MSR ‘22).

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