Olivier Nourry ヌリ オリビエ
Assistant Professor
Software Engineering Laboratory (Higo Lab)
Graduate School of Information Science and Technology
The University of Osaka
About
I am an Assistant Professor in the Software Engineering Laboratory at the Graduate School of Information Science and Technology, The University of Osaka. My research spans two connected fields: software engineering and AI for software engineering (AI4SE). My goal is to make software more reliable and secure by understanding how developers build, test and maintain it, and by creating tools that help them do it better.
In software engineering, my work so far has centered on software testing, fuzzing and large-scale empirical studies. I study how developers test their software in practice, the challenges they face when adopting and maintaining techniques such as fuzzing, and how open-source projects and their ecosystems evolve, so that testing tools and practices can better fit real-world development.
In AI4SE, I study how AI agents can help find, reproduce and fix software vulnerabilities in real-world systems, and how to make their results trustworthy by checking them against how the software actually behaves when run. Each field informs the other: empirical insight into real-world development grounds these AI techniques, and AI opens new ways to tackle long-standing software engineering problems.
I received my Ph.D. from Kyushu University in 2024 (early completion, advised by Prof. Yasutaka Kamei), including a research visit to USI Lugano, and my bachelor's degree in Software Engineering from Concordia University (Montréal).
Research Interests
News
- 2026-09New preprint: Cross-Ecosystem Packages As Multilingual: Prevalence, Architecture, and Health.
- 2026-07Our analysis of 1 million continuous-fuzzing sessions is out in IEEE Transactions on Software Engineering.
- 2026Joined the review committee of ACM Transactions on Software Engineering and Methodology (TOSEM).
- 2026Serving on the program committees of ISSRE 2026 (Fast Abstracts and Project Highlights) and ISSRE 2027 (Main Track).
- 2026-04Does Programming Language Matter? An Empirical Study of Fuzzing Bug Detection appears at MSR 2026.
- 2026-03Leveraging Mutation Analysis for LLM-based Repair of Quantum Programs appears at SANER 2026 (ERA track).
Contact
- nourry [at] ist [dot] osaka-u [dot] ac [dot] jp
- Lab
- Software Engineering Laboratory, The University of Osaka
Prospective students: if you are interested in AI for software engineering (AI4SE), software testing and fuzzing, software security and reliability, or empirical software engineering, feel free to contact me by email.