A Data-Mining Based Study of Security Vulnerability Types and Their Mitigation in Different Languages. - Gábor Antal; Balázs Mosolygó; Norbert Vándor; Péter Hegedüs (ICCSA (4), 2020)

On the Rise and Fall of Simple Stupid Bugs: a Life-Cycle Analysis of SStuBs. - Balázs Mosolygó; Norbert Vándor; Gábor Antal; Péter Hegedüs (MSR, 2021)

A Line-Level Explainable Vulnerability Detection Approach for Java. - Balázs Mosolygó; Norbert Vándor; Péter Hegedüs; Rudolf Ferenc (ICCSA (Workshops 4), 2022)

Comparing ML-Based Predictions and Static Analyzer Tools for Vulnerability Detection. - Norbert Vándor; Balázs Mosolygó; Péter Hegelüs (ICCSA (Workshops 4), 2022)

On the Usefulness of Python Structural Pattern Matching: An Empirical Study. - Norbert Vándor; Gábor Antal; Péter Hegedüs; Rudolf Ferenc (SANER, 2024)

PyBugHive: A Comprehensive Database of Manually Validated, Reproducible Python Bugs. - Gábor Antal; Norbert Vándor; István Kolláth; Balázs Mosolygó; Péter Hegedüs; Rudolf Ferenc (IEEE Access, 2024)