most citedHow I Learned to Stop Worrying and Love ChatGPT

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2025

Wolves in the Repository: A Software Engineering Analysis of the XZ Utils Supply Chain Attack

Piotr Przymus, Thomas Durieux

The digital economy runs on Open Source Software (OSS), with an estimated 90\% of modern applications containing open-source components. While this widespread adoption has revoluti…

cs.SE20252 cited

How I Learned to Stop Worrying and Love ChatGPT

Piotr Przymus, Mikołaj Fejzer, Jakub Narębski +1

In the dynamic landscape of software engineering, the emergence of ChatGPT-generated code signifies a distinctive and evolving paradigm in development practices. We delve into the…

cs.SE2025

HaPy-Bug -- Human Annotated Python Bug Resolution Dataset

Piotr Przymus, Mikołaj Fejzer, Jakub Narębski +5

We present HaPy-Bug, a curated dataset of 793 Python source code commits associated with bug fixes, with each line of code annotated by three domain experts. The annotations offer…

cs.SE2025

Out of Sight, Still at Risk: The Lifecycle of Transitive Vulnerabilities in Maven

Piotr Przymus, Mikołaj Fejzer, Jakub Narębski +2

The modern software development landscape heavily relies on transitive dependencies. They enable seamless integration of third-party libraries. However, they also introduce securit…

cs.CR20251 cited

The Secret Life of CVEs

Piotr Przymus, Mikołaj Fejzer, Jakub Narębski +1

The Common Vulnerabilities and Exposures (CVEs) system is a reference method for documenting publicly known information security weaknesses and exposures. This paper presents a stu…