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ORCIDRudolf Ferenc
- > Home > Persons > Rudolf Ferenc
Publications
- 2024
[j29]Gábor Antal, Norbert Vándor
, István Kolláth, Balázs Mosolygó, Péter Hegedüs, Rudolf Ferenc:
PyBugHive: A Comprehensive Database of Manually Validated, Reproducible Python Bugs. IEEE Access 12: 123739-123756 (2024)- [c71]Zoltán Ságodi, Gábor Antal, Bence Bogenfürst, Martin Isztin, Péter Hegedüs, Rudolf Ferenc:
Reality Check: Assessing GPT-4 in Fixing Real-World Software Vulnerabilities. EASE 2024: 252-261 - [c70]Norbert Vándor, Gábor Antal, Péter Hegedüs, Rudolf Ferenc:
On the Usefulness of Python Structural Pattern Matching: An Empirical Study. SANER 2024: 501-511 - [i11]Gábor Antal, Richárd Vozár, Rudolf Ferenc:
Assessing GPT-4-Vision's Capabilities in UML-Based Code Generation. CoRR abs/2404.14370 (2024) - [i10]Gábor Antal, David Havas, István Siket, Árpád Beszédes, Rudolf Ferenc, József Mihalicza:
Transforming C++11 Code to C++03 to Support Legacy Compilation Environments. CoRR abs/2405.07204 (2024) - [i9]Gábor Antal, Péter Hegedüs, Zoltán Tóth, Rudolf Ferenc, Tibor Gyimóthy:
Static JavaScript Call Graphs: A Comparative Study. CoRR abs/2405.07206 (2024) - [i8]Rudolf Ferenc, Péter Hegedüs, Péter Gyimesi, Gábor Antal, Dénes Bán, Tibor Gyimóthy:
Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions. CoRR abs/2405.07213 (2024) - [i7]Gábor Antal, Zoltán Tóth, Péter Hegedüs, Rudolf Ferenc:
Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics. CoRR abs/2405.07244 (2024) - 2023
- [j26]Gábor Antal, Péter Hegedüs, Zoltán Herczeg, Gábor Lóki, Rudolf Ferenc:
Is JavaScript Call Graph Extraction Solved Yet? A Comparative Study of Static and Dynamic Tools. IEEE Access 11: 25266-25284 (2023) - 2022
- [c66]Balázs Rózsa, Gábor Antal, Rudolf Ferenc:
Don't DIY: Automatically transform legacy Python code to support structural pattern matching. SCAM 2022: 164-169 - 2019
- [c61]Rudolf Ferenc, Péter Hegedüs, Péter Gyimesi, Gábor Antal, Dénes Bán, Tibor Gyimóthy:
Challenging machine learning algorithms in predicting vulnerable JavaScript functions. RAISE@ICSE 2019: 8-14 - 2018
- [c55]Gabor Antal, Péter Hegedüs, Zoltán Tóth, Rudolf Ferenc, Tibor Gyimóthy:
[Research Paper] Static JavaScript Call Graphs: A Comparative Study. SCAM 2018: 177-186 - 2017
- [j15]Gábor Szoke, Gabor Antal, Csaba Nagy, Rudolf Ferenc, Tibor Gyimóthy:
Empirical study on refactoring large-scale industrial systems and its effects on maintainability. J. Syst. Softw. 129: 107-126 (2017) - 2016
- [c51]Gabor Antal, David Havas, István Siket, Árpád Beszédes, Rudolf Ferenc, József Mihalicza:
Transforming C++11 Code to C++03 to Support Legacy Compilation Environments. SCAM 2016: 177-186 - 2014
- [c31]Gábor Szoke, Gabor Antal, Csaba Nagy, Rudolf Ferenc, Tibor Gyimóthy:
Bulk Fixing Coding Issues and Its Effects on Software Quality: Is It Worth Refactoring? SCAM 2014: 95-104
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