activity
20002026
most citedAn Automatically Created Novel Bug Dataset and its Validation in Bug Prediction

40 citations · 51 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DL2026

Beyond Journals: Rethinking Research Evaluation in Hungarian Computer Science

János Tapolcai, Márk Jelasity, Lajos Rónyai +3

This study examines the role of top-tier conference publications in Hungarian computer science research. We show that the national scientometric practice, which is currently journa…

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.SE2020★ 40 cited

An Automatically Created Novel Bug Dataset and its Validation in Bug Prediction

Rudolf Ferenc, Péter Gyimesi, Gábor Gyimesi +2

Bugs are inescapable during software development due to frequent code changes, tight deadlines, etc.; therefore, it is important to have tools to find these errors. One way of perf…

cs.SE2000★ 3 cited

Slicing of Constraint Logic Programs

Gyongyi Szilagyi, Tibor Gyimothy, Jan Maluszynski

Slicing is a program analysis technique originally developed for imperative languages. It facilitates understanding of data flow and debugging. This paper discusses slicing of Cons…