フォロー
Gabor Antal
Gabor Antal
確認したメール アドレス: inf.u-szeged.hu
タイトル
引用先
引用先
Bulk fixing coding issues and its effects on software quality: Is it worth refactoring?
G Szoke, G Antal, C Nagy, R Ferenc, T Gyimóthy
2014 IEEE 14th International Working Conference on Source Code Analysis and …, 2014
642014
Empirical study on refactoring large-scale industrial systems and its effects on maintainability
G Szőke, G Antal, C Nagy, R Ferenc, T Gyimóthy
Journal of Systems and Software 129, 107-126, 2017
542017
Static JavaScript Call Graphs: A Comparative Study
G Antal, P Hegedus, Z Tóth, R Ferenc, T Gyimóthy
2018 IEEE 18th International Working Conference on Source Code Analysis and …, 2018
372018
Challenging machine learning algorithms in predicting vulnerable JavaScript functions
R Ferenc, P Hegedűs, P Gyimesi, G Antal, D Bán, T Gyimóthy
2019 IEEE/ACM 7th International Workshop on Realizing Artificial …, 2019
352019
Exploring the Security Awareness of the Python and JavaScript Open Source Communities
G Antal, M Keleti, P Hegedŭs
Proceedings of the 17th International Conference on Mining Software …, 2020
162020
Towards a Prototype Based Explainable JavaScript Vulnerability Prediction Model
B Mosolygó, N Vándor, G Antal, P Hegedűs, R Ferenc
2021 International Conference on Code Quality (ICCQ), 15-25, 2021
152021
Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics
G Antal, Z Tóth, P Hegedűs, R Ferenc
Technologies 9 (1), 3, 2021
122021
Is JavaScript Call Graph Extraction Solved Yet? A Comparative Study of Static and Dynamic Tools
G Antal, P Hegedűs, Z Herczeg, G Lóki, R Ferenc
IEEE Access 11, 25266-25284, 2023
92023
On the Rise and Fall of Simple Stupid Bugs: a Life-Cycle Analysis of SStuBs
B Mosolygó, N Vándor, G Antal, P Hegedűs
2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021
82021
Transforming c++ 11 code to c++ 03 to support legacy compilation environments
G Antal, D Havas, I Siket, Á Beszédes, R Ferenc, J Mihalicza
2016 IEEE 16th International Working Conference on Source Code Analysis and …, 2016
72016
Challenging machine learning algorithms in predicting vulnerable javascript functions. In 2019 IEEE/ACM 7th International Workshop on Realizing Artificial Intelligence …
R Ferenc, P Hegedűs, P Gyimesi, G Antal, D Bán, T Gyimóthy
IEEE, 2019
62019
A data-mining based study of security vulnerability types and their mitigation in different languages
G Antal, B Mosolygó, N Vándor, P Hegedűs
Computational Science and Its Applications–ICCSA 2020: 20th International …, 2020
42020
Don't DIY: Automatically transform legacy Python code to support structural pattern matching
B Rózsa, G Antal, R Ferenc
2022 IEEE 22nd International Working Conference on Source Code Analysis and …, 2022
32022
A Hands-on OpenStack Code Refactoring Experience Report
G Antal, A Szarka, P Hegedűs
Computational Science and Its Applications–ICCSA 2018: 18th International …, 2018
32018
Reality Check: Assessing GPT-4 in Fixing Real-World Software Vulnerabilities
Z Ságodi, G Antal, B Bogenfürst, M Isztin, P Hegedűs, R Ferenc
Proceedings of the 28th International Conference on Evaluation and …, 2024
22024
Assessing GPT-4-Vision's Capabilities in UML-Based Code Generation
G Antal, R Vozár, R Ferenc
arXiv preprint arXiv:2404.14370, 2024
22024
PyBugHive: A Comprehensive Database of Manually Validated, Reproducible Python Bugs
G Antal, N Vándor, I Kolláth, B Mosolygó, P Hegedűs, R Ferenc
IEEE Access, 2024
2024
Toward a New Era of Rapid Development: Assessing GPT-4-Vision's Capabilities in UML-Based Code Generation
G Antal, R Vozár, R Ferenc
Proceedings of the 1st International Workshop on Large Language Models for …, 2024
2024
On the Usefulness of Python Structural Pattern Matching: An Empirical Study
N Vánder, G Antal, P Hegedüs, R Ferenc
2024 IEEE International Conference on Software Analysis, Evolution and …, 2024
2024
Applying Code Analysis and Machine Learning Techniques to Improve Compatibility and Security of Programs
G Antal
PQDT-Global, 2021
2021
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