
Registered user since Tue 5 Sep 2017
Christoph Treude is an Associate Professor of Computer Science at Singapore Management University. His work spans empirical and automated software engineering (SE), artificial intelligence (AI) and software engineering (AI&SE), human-AI collaboration, and AI for science. He has authored over 200 scientific publications in collaboration with more than 300 co-authors. His research has been recognized with five best paper awards, including three ACM SIGSOFT Distinguished Paper Awards, and has received funding from Google, Facebook, DST, and through an ARC Discovery Early Career Researcher Award (2018–2020). Before joining SMU, he held academic positions at the University of Melbourne and the University of Adelaide, and postdoctoral appointments at McGill University, the University of São Paulo, and the Federal University of Rio Grande do Norte. He currently serves on the editorial boards of the IEEE Transactions on Software Engineering and Empirical Software Engineering (Springer), and as Open Science Editor for the Journal of Systems and Software (Elsevier). He is co-chairing the program committee for FSE 2026 and regularly serves on program committees across leading software engineering venues.
Contributions
2026
ICSE
- StagedVulBERT: Multi-Granular Vulnerability Detection with a Novel Pre-trained Code Model
- Developer reactions to protestware in open source software: the cases of color.js and es5.ext
- Artifact Evaluation Co-Chair in Organizing Committee
- Artifact Evaluation Co-Chair in Artifact Evaluation within the Artifact Evaluation-track
- Adapting Installation Instructions in Rapidly Evolving Software Ecosystems
- PC Member in Technical Briefings and Tutorials within the Tutorials and Technical Briefings-track
- Rethinking Artifact Evaluation for Software Engineering in the Age of Generative AI
Mining Software Repositories
- Committee Member in MSR Awards Committee within the MSR Awards-track
- Who Said CVE? How Vulnerability Identifiers Are Mentioned by Humans, Bots, and Agents in Pull Requests
- On Autopilot? An Empirical Study of Human–AI Teaming and Review Practices in Open Source
- Context Engineering for AI Agents in Open-Source Software