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Items where Author is "Csuvik, Viktor"
Group by: Item Type | No Grouping Jump to: Article | Book Section Number of items: 6. ArticleKicsi, András and Csuvik, Viktor and Vidács, László (2021) Large Scale Evaluation of Natural Language Processing Based Test-to-Code Traceability Approaches. IEEE ACCESS, 9. pp. 79089-79104. ISSN 2169-3536 Book SectionLajkó, Márk and Horváth, Dániel and Csuvik, Viktor and Vidács, László (2022) Fine-Tuning GPT-2 to Patch Programs, is it Worth it? In: International Conference on Computational Science and Its Applications. Springer Nature Switzerland AG., Cham, pp. 1-13. (Submitted) Csuvik, Viktor and Vidács, László (2022) FixJS: A Dataset of Bug-fixing JavaScript Commits. In: Proceedings of 2022 IEEE/ACM 19th International Conference on Mining Software Repositories. IEEE, Pittsburgh (PA), pp. 712-716. Lajkó, Márk and Csuvik, Viktor and Vidács, László (2022) Towards JavaScript program repair with Generative Pre-trained Transformer (GPT-2). In: International Workshop on Automated Program Repair. IEEE, Pittsburgh (PA), pp. 1-8. ISBN https://doi.org/10.1145/3524459.3527350 (In Press) Csuvik, Viktor and Horváth, Dániel and Lajkó, Márk and Vidács, László (2021) Exploring Plausible Patches Using Source Code Embeddings in JavaScript. In: 2021 IEEE/ACM International Workshop on Automated Program Repair (APR). IEEE, Madrid, pp. 11-18. ISBN 9781665444729 Csuvik, Viktor and Horváth, Dániel and Horváth, Ferenc and Vidács, László (2020) Utilizing Source Code Embeddings to Identify Correct Patches. In: 2020 IEEE 2nd International Workshop on Intelligent Bug Fixing (IBF). IEEE, pp. 18-25. ISBN 9781728162805 |
