Autori: Vidakovic Dragan
Naslov | Automatic detection of code smells using metrics and CodeT5 embeddings: a case study in C# (Article; Early Access) |
Autori | Kovacevic Aleksandar D ![]() ![]() ![]() |
Info | NEURAL COMPUTING & APPLICATIONS, (2024), vol. br. , str. - |
Projekat | Science Fund of the Republic of Serbia; Ministry of Science, Technological Development and Innovation [451-03-47/2023-01/200156]; [6521051] |
Ispravka | Web of Science Članak Elečas Rang časopisa Citati: |
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Naslov | Towards a systematic approach to manual annotation of code smells (Article) |
Autori | Slivka Jelena J Luburic Nikola Prokic Simona ![]() ![]() ![]() |
Info | SCIENCE OF COMPUTER PROGRAMMING, (2023), vol. 230 br. , str. - |
Projekat | Science Fund of the Republic of Serbia [6521051]; AI-Clean CaDET; Ministry of Science, Technological Development and Innovation [451-03-47/2023-01/200156] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | Automatic detection of Long Method and God Class code smells through neural source code embeddings (Article) |
Autori | Kovacevic Aleksandar D ![]() ![]() ![]() |
Info | EXPERT SYSTEMS WITH APPLICATIONS, (2022), vol. 204 br. , str. - |
Projekat | Science Fund of the Republic of Serbia [6521051] |
Ispravka | Web of Science Članak Elečas Rang časopisa Citati: Web of Science Scopus |
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