Viktor Csuvik

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Natural Language Processing

Reverse Engineer

Top Venues

Publications

Viktor Csuvik, Roland Aszmann, Árpád Beszédes, Ferenc Horváth, Tibor Gyimóthy
On the Stability and Applicability of Deep Learning in Fault Localization. SANER (2024)
Dániel Horváth, Viktor Csuvik, Tibor Gyimóthy, László Vidács
An Extensive Study on Model Architecture and Program Representation in the Domain of Learning-based Automated Program Repair. APR@ICSE (2023)
Viktor Csuvik, Tibor Gyimóthy, László Vidács
Can ChatGPT Fix My Code? ICSOFT (2023)
Viktor Csuvik, László Vidács
FixJS: A Dataset of Bug-fixing JavaScript Commits. MSR (2022)
Márk Lajkó, Dániel Horváth, Viktor Csuvik, László Vidács
Fine-Tuning GPT-2 to Patch Programs, Is It Worth It? ICCSA (Workshops 4) (2022)
Márk Lajkó, Viktor Csuvik, László Vidács
Towards JavaScript program repair with Generative Pre-trained Transformer (GPT-2). APR@ICSE (2022)
Viktor Csuvik, Dániel Horváth, Márk Lajkó, László Vidács
Exploring Plausible Patches Using Source Code Embeddings in JavaScript. APR@ICSE (2021)
Viktor Csuvik, Dániel Horváth, Márk Lajkó, László Vidács
Exploring Plausible Patches Using Source Code Embeddings in JavaScript. CoRR (2021)
András Kicsi, Viktor Csuvik, László Vidács
Large Scale Evaluation of Natural Language Processing Based Test-to-Code Traceability Approaches. IEEE Access 9 (2021)
Viktor Csuvik, András Kicsi, László Vidács
Evaluation of Textual Similarity Techniques in Code Level Traceability. ICCSA (4) (2019)
Viktor Csuvik, András Kicsi, László Vidács
Source code level word embeddings in aiding semantic test-to-code traceability. SST@ICSE (2019)
András Kicsi, Viktor Csuvik, László Vidács, Ferenc Horváth, Árpád Beszédes, Tibor Gyimóthy, Ferenc Kocsis
Feature analysis using information retrieval, community detection and structural analysis methods in product line adoption. J. Syst. Softw. 155 (2019)
András Kicsi, Viktor Csuvik, László Vidács, Árpád Beszédes, Tibor Gyimóthy
Feature Level Complexity and Coupling Analysis in 4GL Systems. ICCSA (5) (2018)
András Kicsi, László Vidács, Viktor Csuvik, Ferenc Horváth, Árpád Beszédes, Ferenc Kocsis
Supporting Product Line Adoption by Combining Syntactic and Textual Feature Extraction. ICSR (2018)