activity
20202026
most citedStatic JavaScript Call Graphs: A Comparative Study

8 citations · 9 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CR2026

JavaVulBench: A Java Vulnerability Benchmark with Realistic Splits, a Unified Multi-Backend Harness, and a Leakage-Aware Evaluation Mode

Norbert Sandor Szolnoki, Gabor Antal

We release \textsc{JavaVulBench}, a benchmark dataset and evaluation harness for Java vulnerability detection. The dataset contains 30{,}600 Java methods spanning 1{,}740 CVE…

cs.SE2025

Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study

Gábor Antal, Bence Bogenfürst, Rudolf Ferenc +1

Recent advancements in large language models (LLMs) have shown promise for automated vulnerability detection and repair in software systems. This paper investigates the performance…

cs.SE2025

Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation

Gábor Antal, Dénes Bán, Martin Isztin +2

In the life-cycle of software development, testing plays a crucial role in quality assurance. Proper testing not only increases code coverage and prevents regressions but it can al…

cs.CR2024

A Data-Mining Based Study of Security Vulnerability Types and Their Mitigation in Different Languages

Gábor Antal, Balázs Mosolygó, Norbert Vándor +1

The number of people accessing online services is increasing day by day, and with new users, comes a greater need for effective and responsive cyber-security. Our goal in this stud…

cs.SE2024★ 1 cited

Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics

Gábor Antal, Zoltán Tóth, Péter Hegedűs +1

Bug prediction aims at finding source code elements in a software system that are likely to contain defects. Being aware of the most error-prone parts of the program, one can effic…

cs.CR2024

Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions

Rudolf Ferenc, Péter Hegedűs, Péter Gyimesi +3

The rapid rise of cyber-crime activities and the growing number of devices threatened by them place software security issues in the spotlight. As around 90% of all attacks exploit…

cs.SE2024★ 8 cited

Static JavaScript Call Graphs: A Comparative Study

Gábor Antal, Péter Hegedűs, Zoltán Tóth +2

The popularity and wide adoption of JavaScript both at the client and server side makes its code analysis more important than ever before. Most of the algorithms for vulnerability…

cs.SE2024

Transforming C++11 Code to C++03 to Support Legacy Compilation Environments

Gábor Antal, Dávid Havas, István Siket +3

Newer technologies - programming languages, environments, libraries - change very rapidly. However, various internal and external constraints often prevent projects from quickly ad…

cs.SE2024

Assessing GPT-4-Vision's Capabilities in UML-Based Code Generation

Gábor Antal, Richárd Vozár, Rudolf Ferenc

The emergence of advanced neural networks has opened up new ways in automated code generation from conceptual models, promising to enhance software development processes. This pape…

cs.SE2021

On the Rise and Fall of Simple Stupid Bugs: a Life-Cycle Analysis of SStuBs

Balázs Mosolygó, Norbert Vándor, Gábor Antal +1

Bug detection and prevention is one of the most important goals of software quality assurance. Nowadays, many of the major problems faced by developers can be detected or even fixe…

cs.SE2020

Exploring the Security Awareness of the Python and JavaScript Open Source Communities

Gábor Antal, Márton Keleti, Péter Hegedűs

Software security is undoubtedly a major concern in today's software engineering. Although the level of awareness of security issues is often high, practical experiences show that…