8 citations · 9 across the 10 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
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…