Csuvik Viktor, Horvath Daniel, Horvath Ferenc, Vidacs Laszlo: Utilizing Source Code Embeddings to Identify Correct Patches, In: Xiapu, Luo; Weiyi, Shang; Xiaobing, Sun; Tao, Zhang (szerk.) IBF ’20, IEEE (2020) 19455174 type of document: Part of book/Szaktanulmány (to be translated) language: English URL
2019
from data base, 2020. IX. 29.
Kicsi András, Csuvik Viktor, Vidács László, Horváth Ferenc, Beszédes Árpád, Gyimóthy Tibor, Kocsis Ferenc: Feature Analysis using Information Retrieval, Community Detection and Structural Analysis Methods in Product Line Adoption, JOURNAL OF SYSTEMS AND SOFTWARE 155: pp. 70-90. type of document: Journal paper/Article number of independent citations: 1 language: English URL
2019
from data base, 2020. IX. 29.
Viktor Csuvik, András Kicsi, László Vidács: Evaluation of Textual Similarity Techniques in Code Level Traceability, LECTURE NOTES IN COMPUTER SCIENCE 11622: pp. 529-543. type of document: Journal paper/Article language: English URL
2019
from data base, 2020. IX. 29.
Viktor Csuvik, András Kicsi, László Vidács: Source Code Level Word Embeddings in Aiding Semantic Test-to-Code Traceability, In: IEEE, Xplore (szerk.) 2019 IEEE/ACM 10th International Workshop on Software and Systems Traceability, IEEE (2019) pp. 29-36. type of document: Part of book/Szaktanulmány (to be translated) language: English URL
2018
from data base, 2020. IX. 29.
András Kicsi, László Vidács, Viktor Csuvik, Ferenc Horváth, Árpád Beszédes, Ferenc Kocsis: Supporting Product Line Adoption by Combining Syntactic and Textual Feature Extraction, LECTURE NOTES IN COMPUTER SCIENCE 10826: pp. 148-163. type of document: Journal paper/Article language: English URL
2018
from data base, 2020. IX. 29.
Kicsi A, Csuvik V, Vidács L, Beszédes Á, Gyimóthy T: Feature level complexity and coupling analysis in 4GL systems, LECTURE NOTES IN COMPUTER SCIENCE 10964: pp. 438-453. type of document: Journal paper/Article language: English URL
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The number of citations displayed after clicking on the link may differ from the displayed number because the former displays the current state of MTMT2 and the latter was the case when importing science metrics.
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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