Xavier Devroey, Ph.D.

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Xavier Devroey

Xavier Devroey

Assistant Professor

University of Namur

About me

My name is Xavier Devroey. I am an assistant professor of software engineering at the University of Namur, where, together with Benoît Vanderose, we co-lead the SNAIL Team. My research goal is to ease software testing by exploring new paths to achieve a high level of automation for test case design, generation, selection, and prioritization. My main research interests include search-based and model-based software testing, test suite augmentation, DevOps, and variability-intensive systems.

Interests

  • Search-Based Software Testing
  • Model-Based Testing
  • Mutation Testing
  • Variability Modeling
  • Software Product Line Testing

Education

  • Ph.D. in Computer Science, 2017

    University of Namur, Belgium

  • Master in Computer Science, 2010

    University of Namur, Belgium

  • Bachelor Analyst Programmer, 2007

    Haute Ecole de Bruxelles, Belgium

Recent Publications

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

PDF Code Dataset Project DOI

Pouria Derakhshanfar, Xavier Devroey (2022). Basic Block Coverage for Unit Test Generation at the SBST 2022 Tool Competition. 15th Search-Based Software Testing Workshop (SBST ‘22).

PDF Project Project DOI

Vincent Englebert, Xavier Devroey (2021). Modéliser. Éduquer au numérique. 12 clés pour comprendre l’informatique.

Book

Xavier Devroey, Moussa Amrani, Benoit Vanderose (2021). Experience Report on Soft and Project Skills Building through Repetition. Proceedings of the 3rd International Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI ‘21).

PDF Video DOI

Sophie Fortz, Paul Temple, Xavier Devroey, Patrick Heymans, Gilles Perrouin (2021). VaryMinions: Leveraging RNNs to Identify Variants in Event Logs. Proceedings of the 5th International Workshop on Machine Learning Techniques for Software Quality Evolution.

PDF DOI

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Projects

JUnit Testing Tool Competition

The JUnit Testing Tool Competition is held at the SBST workshop co-located with ICSE. The contest’s infrastructure (JUGE) has been developed and used in testing contests during yearly events since 2013.
Code
JUnit Testing Tool Competition

Software Testing AMPlification (EU H2020 STAMP)

STAMP aims at bringing test automation and amplification to the DevOps world. During my postdoc at TU Delft, I assumed the daily supervision and coordination of the scientific work package runtime amplification and the edition of the TU Delft deliverables.
Website
Software Testing AMPlification (EU H2020 STAMP)

Big Software on the Run (3TU BSR)

BSR aims at developing novel techniques and tools to analyse software systems in vivo - making it possible to visualize behaviour, create models, check conformance, predict problems, and recommend corrective actions.
Website
Big Software on the Run (3TU BSR)
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Courses

Bachelor in Computer Science

  • INFCB112 - Introduction to Algorithms
  • INFOB302 - Introduction to Scientific Research

Recent Posts

SSBSE 2021 Program co-chair

Last Monday and Tuesday 11 and 12 October 2021 took place the 13th edition of the Symposium on Search-Based Software Engineering (SSBSE ’21). This symposium is held every year and brings together specialists in evolutionary computation applied to software engineering (SBSE).
Oct 15, 2021 3 min read
SSBSE 2021 Program co-chair

TestEd 2020

Last Wednesday (28/10/2020), I attended the first edition of the Software Testing Education Workshop, co-located with ICST 2020. The workshop was initially supposed to be held in Porto. Unfortunately, with the COVID-19 pandemic and the travel restrictions, ICST and all the workshops had to be held over Zoom.
Oct 31, 2020 2 min read Tips
TestEd 2020

SSBSE 2020 Best Paper Award

Last Thursday (08/10/2020), we received a best paper award for our paper entitled It is not Only About Control Dependent Nodes: Basic Block Coverage for Search-Based Crash Reproduction. In this paper, we revisit the approach level and branch distance heuristics widely used for white-box test generation.
Oct 11, 2020 1 min read Research results
SSBSE 2020 Best Paper Award
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Popular Topics

Artificial Intelligence Case Study Crash Reproduction Education Event-B Feature Model Featured Transition Systems KAOS Model-Based Testing Model-Checking Mutation Testing Pandemic Programming Prioritization Requirements Engineering Search-Based Software Testing Software Engineering Software Product Line Software Testing Statistical Testing Variability-Intensive System