
Registered user since Thu 9 Nov 2017
Leon Moonen is a Professor and head of the Data-Driven Software Engineering Department (dataSED) at Simula Research Laboratory, Norway. He also holds a visiting professor position at the Department of Data Science and Analytics at BI Norwegian Business School. His research is aimed at the design and development of advanced, data-driven techniques and tools that support software engineers with the assessment, evolution, and operations of complex industrial software systems, with a particular interest in security and resilience in Software Systems, self-healing and self-adaptive technology and, more general, the application of machine learning and AI in Software Engineering. His research covers a wide range of topics, such as software analytics, software reverse engineering, software repository mining, machine learning, program comprehension, and empirical software engineering.
Leon prefers to work in close collaboration with industry, to ensure that his research addresses questions of practical value, and to evaluate candidate solutions in real-life circumstances. Current projects investigate automated identification and repair of software security vulnerabilities, the use of LLMs to support cyber threat intelligence, adaptive bio-inspired techniques for creating autonomously self-healing systems, smart analytics of the vast amounts of logging data produced in continuous engineering, and recommendation systems for smarter evolution and testing of software-intensive systems.
Contributions
2025
SCAM
2024
ICSME
- Most Influential Paper ICSME 2014 Chair in Organizing Committee
- Author of The Impact of Program Reduction on Automated Program Repair within the Research Track-track
- Author of Replication Package for "The Impact of Program Reduction on Automated Program Repair" within the Artifact Evaluation Track and ROSE Festival-track
- Most Influential Paper ICSME 2014 Chair in Organizing Committee
- Session Chair of ICSME 2024 Awards Ceremony (part of Research Track)