Welcome to the official GitHub organization of NCUSI — a research group at the Faculty of Mathematics and Computer Science, Nicolaus Copernicus University in Toruń. We explore the intersection of Software Engineering, Artificial Intelligence, and Data Mining.
Our work focuses on:
- Mining and understanding software repositories
- Software vulnerability analysis and security
- Automated program repair and LLM-based coding support
- High-performance computing and data-intensive systems
We publish in top-tier venues like:
- IEEE/ACM MSR
- IEEE Transactions on Software Engineering
- Journal of Intelligent Information Systems
Our recent contributions:
- EASE 2026 These Aren't the Reviews You're Looking For How Humans Review AI-Generated Pull Requests)
- MSR 2026 Linux Kernel Recency Matters, CVE Severity Doesn't, and History Fades
- MSR 2026 Adversarial bug reports as a security risk in language model-based automated program repair
- MSR Industry 2026 Can Data Mining Help to Survive the Annual Compiler Upgrade?
- MSR Industry 2026 Underutilization in Research GPU Clusters: SE Challenges
- ISSTA 2025 PatchScope–A Modular Tool for Annotating and Analyzing Contributions
- MSR Challange 2025 Out of Sight, Still at Risk: The Lifecycle of Transitive Vulnerabilities in Maven (arXiv:2504.04803)
- MSR Data and Tools 2025 HaPy-Bug - Human Annotated Python Bug Resolution Dataset (arXiv:2504.04810)
- MSR Challange 2024 How I Learned to Stop Worrying and Love ChatGPT
- MSR Challange 2023 The Secret Life of CVEs (arXiv:2504.03863)
- Tracking Buggy Files: New Efficient Adaptive Bug Localization Algorithm
- Profile based recommendation of code reviewers
- Fast JSON Parsing with GPU Metaprogramming
Industry papers:
A tool for automated patch analysis and fine-grained classification of bug fixes. Used in our MSR 2025 studies to analyze the XZ Utils supply chain attack and other security-related commits.
We’re a collaborative team and often work across universities and disciplines. Get in touch if you're interested in research collaboration!