Viktor Csuvik

17 papers A 2B 1C 2Journal 4Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
GenProgJS: A Baseline System for Test-Based Automated Repair of JavaScript Programs.
IEEE Trans. Software Eng.
Viktor Csuvik, Dániel Horváth, Márk Lajkó, László Vidács
2024 — conf
Automated Program Repair with the GPT Family, Including GPT-2, GPT-3 and CodeX.
APR
Márk Lajkó, Viktor Csuvik, Tibor Gyimóthy, László Vidács
2024 C conf
Feature Extraction, Learning and Selection in Support of Patch Correctness Assessment.
ICSOFT
Viktor Csuvik, Dániel Horváth, László Vidács
2024 A conf
On the Stability and Applicability of Deep Learning in Fault Localization.
SANER
Viktor Csuvik, Roland Aszmann, Árpád Beszédes, Ferenc Horváth, Tibor Gyimóthy
2023 — conf
An Extensive Study on Model Architecture and Program Representation in the Domain of Learning-based Automated Program Repair.
APR@ICSE
Dániel Horváth, Viktor Csuvik, Tibor Gyimóthy, László Vidács
2023 C conf
Can ChatGPT Fix My Code?
ICSOFT
Viktor Csuvik, Tibor Gyimóthy, László Vidács
2022 — conf
Fine-Tuning GPT-2 to Patch Programs, Is It Worth It?
ICCSA (Workshops 4)
Márk Lajkó, Dániel Horváth, Viktor Csuvik, László Vidács
2022 A conf
FixJS: A Dataset of Bug-fixing JavaScript Commits.
MSR
Viktor Csuvik, László Vidács
2022 — conf
Towards JavaScript program repair with Generative Pre-trained Transformer (GPT-2).
APR@ICSE
Márk Lajkó, Viktor Csuvik, László Vidács
2021 — conf
Exploring Plausible Patches Using Source Code Embeddings in JavaScript.
APR@ICSE
Viktor Csuvik, Dániel Horváth, Márk Lajkó, László Vidács
2021 J jnl
Exploring Plausible Patches Using Source Code Embeddings in JavaScript.
CoRR
Viktor Csuvik, Dániel Horváth, Márk Lajkó, László Vidács
2021 J jnl
Large Scale Evaluation of Natural Language Processing Based Test-to-Code Traceability Approaches.
IEEE Access
András Kicsi, Viktor Csuvik, László Vidács
2019 — conf
Evaluation of Textual Similarity Techniques in Code Level Traceability.
ICCSA (4)
Viktor Csuvik, András Kicsi, László Vidács
2019 J jnl
Feature analysis using information retrieval, community detection and structural analysis methods in product line adoption.
J. Syst. Softw.
András Kicsi, Viktor Csuvik, László Vidács, Ferenc Horváth, Árpád Beszédes, Tibor Gyimóthy, Ferenc Kocsis
2019 — conf
Source code level word embeddings in aiding semantic test-to-code traceability.
SST@ICSE
Viktor Csuvik, András Kicsi, László Vidács
2018 — conf
Feature Level Complexity and Coupling Analysis in 4GL Systems.
ICCSA (5)
András Kicsi, Viktor Csuvik, László Vidács, Árpád Beszédes, Tibor Gyimóthy
2018 B conf
Supporting Product Line Adoption by Combining Syntactic and Textual Feature Extraction.
ICSR
András Kicsi, László Vidács, Viktor Csuvik, Ferenc Horváth, Árpád Beszédes, Ferenc Kocsis