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Viktor Csuvik
Viktor Csuvik
MTA-SZTE Research Group on Artificial Intelligence
在 inf.u-szeged.hu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Towards javascript program repair with generative pre-trained transformer (gpt-2)
M Lajkó, V Csuvik, L Vidács
Proceedings of the Third International Workshop on Automated Program Repair …, 2022
312022
Utilizing source code embeddings to identify correct patches
V Csuvik, D Horváth, F Horváth, L Vidács
2020 IEEE 2nd International Workshop on Intelligent Bug Fixing (IBF), 18-25, 2020
312020
Source code level word embeddings in aiding semantic test-to-code traceability
V Csuvik, A Kicsi, L Vidács
2019 IEEE/ACM 10th International Symposium on Software and Systems …, 2019
272019
Evaluation of textual similarity techniques in code level traceability
V Csuvik, A Kicsi, L Vidács
Computational Science and Its Applications–ICCSA 2019: 19th International …, 2019
152019
Fixjs: A dataset of bug-fixing javascript commits
V Csuvik, L Vidács
Proceedings of the 19th International Conference on Mining Software …, 2022
122022
Fine-tuning gpt-2 to patch programs, is it worth it?
M Lajkó, D Horváth, V Csuvik, L Vidács
International Conference on Computational Science and Its Applications, 79-91, 2022
102022
Large scale evaluation of natural language processing based test-to-code traceability approaches
A Kicsi, V Csuvik, L Vidács
IEEE Access 9, 79089-79104, 2021
92021
Feature analysis using information retrieval, community detection and structural analysis methods in product line adoption
A Kicsi, V Csuvik, L Vidács, F Horváth, Á Beszédes, T Gyimóthy, F Kocsis
Journal of Systems and Software 155, 70-90, 2019
92019
Supporting product line adoption by combining syntactic and textual feature extraction
A Kicsi, L Vidács, V Csuvik, F Horváth, A Beszédes, F Kocsis
New Opportunities for Software Reuse: 17th International Conference, ICSR …, 2018
92018
Exploring plausible patches using source code embeddings in javascript
V Csuvik, D Horváth, M Lajkó, L Vidács
2021 IEEE/ACM International Workshop on Automated Program Repair (APR), 11-18, 2021
82021
An extensive study on model architecture and program representation in the domain of learning-based automated program repair
D Horváth, V Csuvik, T Gyimóthy, L Vidács
2023 IEEE/ACM International Workshop on Automated Program Repair (APR), 31-38, 2023
32023
Feature level complexity and coupling analysis in 4GL systems
A Kicsi, V Csuvik, L Vidács, Á Beszédes, T Gyimóthy
Computational Science and Its Applications–ICCSA 2018: 18th International …, 2018
22018
Can ChatGPT Fix My Code?
V Csuvik, T Gyimóthy, L Vidács
ICSOFT, 478-485, 2023
12023
Feature Level Metrics Based on Size and Similarity in Software Product Line Adoption
A Kicsi, V Csuvik
THE 11TH CONFERENCE OF PHD STUDENTS IN COMPUTER SCIENCE, 25, 2018
12018
On the Stability and Applicability of Deep Learning in Fault Localization
V Csuvik, R Aszmann, Á Beszédes, F Horváth, T Gyimóthy
2024 IEEE International Conference on Software Analysis, Evolution and …, 2024
2024
2023 IEEE/ACM International Workshop on Automated Program Repair (APR)
PTT Huyen, K Yasuda, S Itoh, S Reiss, X Wei, Q Xin, R Shariffdeen, ...
2023
2021 IEEE/ACM International Workshop on Automated Program Repair (APR)
Z Bian, A Blot, J Petke, V Csuvik, D Horváth, C Knieke, M Schindler, ...
2021
The Role of Software Testing and Machine Learning in Automated Program Repair
V Csuvik
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