Personal data sheet
personal data approved: 2024. VII. 01.
Personal data
name Gábor Antal
name of institution
doctoral school
SzTE Doctoral School of Computer Science (Announcer of research topic)
the share of work in the different doctoral schools. SzTE Doctoral School of Computer Science 100%
Contact details
E-mail address antalinf.u-szeged.hu
phone number +36 62 544-331
Academic title
scientific degree, title Ph.D.
year degree was obtained 2022
discipline to which degree belongs mathematics and computing
institution granting the degree University of Szeged
Employment
2012 - University of Szeged
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now
number of students who fulfilled course requirements
students who obtained their degrees:
  Thesis topic proposals
Research
research area Using large language models in various areas of software development; software quality (static and dynamic code analysis); secure software development
research field in which current research is conducted mathematics and computing
computer sciences
Publications
2024

Ságodi Zoltán, Antal Gábor, Bogenfürst Bence, Isztin Martin, Hegedűs Péter, Ferenc Rudolf: Reality Check: Assessing GPT-4 in Fixing Real-World Software Vulnerabilities, In: Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, Association for Computing Machinery (ACM) (2024) pp. 252-261.
type of document: Part of book/Szaktanulmány (to be translated)
language: English
URL 
2023

Antal Gabor, Hegedus Peter, Herczeg Zoltan, Lóki Gabor, Ferenc Rudolf: Is JavaScript Call Graph Extraction Solved Yet? A Comparative Study of Static and Dynamic Tools, IEEE ACCESS 11: pp. 25266-25284.
type of document: Journal paper/Article
number of independent citations: 1
language: English
URL 
2022

Rozsa Balazs, Antal Gabor, Ferenc Rudolf: Don't DIY: Automatically transform legacy Python code to support structural pattern matching, In: Mariano, Ceccato; Banani, Roy; Mohammad, Ghafari; Cristina, Ceballos; Hector, Torres (szerk.) Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, IEEE Computer Society Conference Publishing Services (CPS) (2022) pp. 164-169.
type of document: Part of book/Proceedings Paper
language: English
URL 
2021

Antal Gábor, Tóth Zoltán, Hegedűs Péter, Ferenc Rudolf: Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics, TECHNOLOGIES 9: 3
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
2021

Mosolygo B., Vandor N., Antal Gábor, Hegedűs Péter, Ferenc Rudolf: Towards a prototype based explainable javascript vulnerability prediction model, In: [IEEE] (szerk.) 1st International Conference on Code Quality, ICCQ 2021, Institute of Electrical and Electronics Engineers (IEEE) (2021) pp. 15-25.
type of document: Part of book/Proceedings Paper
number of independent citations: 2
language: English
URL 
2020

Gábor Antal, Márton Keleti, Péter Hegedűs: Exploring the Security Awareness of the Python and JavaScript Open Source Communities, In: Sarah, Nadi; Georgios, Gousios (szerk.) MSR '20, Association for Computing Machinery (ACM) (2020) pp. 16-20.
type of document: Part of book/Proceedings Paper
number of independent citations: 5
language: English
URL 
2019

Ferenc R., Hegedus P., Gyimesi P., Antal G., Ban D., Gyimothy T.: Challenging machine learning algorithms in predicting vulnerable javascript functions, In: IEEE, Xplore (szerk.) 7th IEEE/ACM International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2019, Institute of Electrical and Electronics Engineers (IEEE) (2019) pp. 8-14.
type of document: Part of book/Proceedings Paper
number of independent citations: 18
language: English
URL 
2018

Antal Gábor, Hegedus P., Tóth Zoltán Gábor, Ferenc R., Gyimothy T.: Static javascript call graphs: A comparative study, In: Árpád, Beszédes; Monika, Gupta (szerk.) 2018 IEEE 18th International Working Conference on Source Code Analysis and Manipulation SCAM 2018, IEEE Computer Society (2018) pp. 177-186.
type of document: Part of book/Proceedings Paper
number of independent citations: 11
language: English
URL 
2017

Szőke Gábor, Antal Gábor, Nagy Csaba, Ferenc Rudolf, Gyimóthy Tibor: Empirical study on refactoring large-scale industrial systems and its effects on maintainability, JOURNAL OF SYSTEMS AND SOFTWARE 129: pp. 107-126.
type of document: Journal paper/Article
number of independent citations: 21
language: English
URL 
2016

Gábor Antal, Dávid Havas, István Siket, Árpád Beszédes, Rudolf Ferenc, József Mihalicza: Transforming C++11 Code to C++03 to Support Legacy Compilation Environments, In: Gabriele, Bavota; Michaela, Greiler (szerk.) IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2016), IEEE Computer Society Press (2016) pp. 177-186.
type of document: Part of book/Proceedings Paper
number of independent citations: 1
language: English
URL 
Number of independent citations to these publications:64 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
15
number of scientific publications:
15
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
scientific publications published abroad that meet the accreditation criteria:
14
publications not in Hungarian, published in Hungary, meeting the accreditation criteria:
1
number of independent citations to scientific publications and creative works:
95
Supervision
thesis supervisor Rudolf Ferenc
one supervisor or with co-supervisor individual
degree PhD
starting of doctoral studies 2016
date of final certificate (year,month) 2020/08
year in which degree was obtained 2022
diszertáció Main findings in the thesis (in Hungarian)Main findings in the thesis (in English)The thesis
data of the public discussion defense