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Naslov Enhancing software and learning with Serbian student feedback corpora (Article; Early Access)
Autori Vidakovic Dragan Lj  Luburic Nikola M  Kovacevic Aleksandar D  Slivka Jelena J 
Info LANGUAGE RESOURCES AND EVALUATION, (2025), vol. br. , str. -
Projekat Science Fund of the Republic of Serbia [6521051]; Ministry of Science, Technological Development and Innovation [451-03-65/2024-03/200156]; Faculty of Technical Sciences, University of Novi Sad [01-3394/1]; AI-Clean CaDET
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov An Intelligent Tutoring System to Support Code Maintainability Skill Development (Article)
Autori Luburic Nikola M  Doric Luka Z  Slivka Jelena J  Vidakovic Dragan Lj  Grujic Katarina-Glorija G  Kovacevic Aleksandar D  Prokic Simona B 
Info IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, (2025), vol. 18 br. , str. 289-303
Projekat Science Fund of the Republic of Serbia [65210512]; Ministry of Science, Technological Development, and Innovation [451-03-137/2025-03/2001563]; Faculty of Technical Sciences, University of Novi Sad [01-50/295]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov House Energy Management System, for balancing Electricity Costs and Residential Comfort, based on Deep Reinforcement Learning (Article)
Autori Kaplar Aleksandra  Vidakovic Milan  Kaplar Aleksandar  Vidakovic Jovana  Slivka Jelena J 
Info ACTA POLYTECHNICA HUNGARICA, (2024), vol. 21 br. 8, str. 289-308
Projekat Ministry of Science, Technological Development and Innovation [451-03-65/2024-03/200156]; Faculty of Technical Sciences, University of Novi Sad through project "Scientific and Artistic Research Work of Researchers [01-3394/1]
Ispravka ISI/Web of Science   Elečas   Rang časopisa  
Naslov A framework for designing software engineering project-based learning experiences based on the 4 C/ID model (Article; Early Access)
Autori Luburic Nikola M  Slivka Jelena J  Doric Luka Z  Prokic Simona B  Kovacevic Aleksandar D 
Info EDUCATION AND INFORMATION TECHNOLOGIES, (2024), vol. br. , str. -
Projekat Ministarstvo Prosvete, Nauke i Tehnoloscaron;kog Razvoja [451-03-65/2024-03/200156]; Ministry of Science, Technological Development and Innovation [01-3394/1]; Faculty of Technical Sciences, University of Novi Sad through project "Scientific and Artistic Research Work of Researchers
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov Prescriptive procedure for manual code smell annotation (Article)
Autori Prokic Simona B  Luburic Nikola M  Slivka Jelena J  Kovacevic Aleksandar D 
Info SCIENCE OF COMPUTER PROGRAMMING, (2024), vol. 238 br. , str. -
Projekat Science Fund of the Republic of Serbia [6521051]; Ministry of Science, Technological Development and Innovation [451-03-65/2024-03/200156]; Faculty of Technical Sciences, University of Novi Sad [01-3394/1]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Automatic detection of code smells using metrics and CodeT5 embeddings: a case study in C# (Article; Early Access)
Autori Kovacevic Aleksandar D  Luburic Nikola M  Slivka Jelena J  Prokic Simona B  Grujic Katarina-Glorija G  Vidakovic Dragan Lj  Sladic Goran S 
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 ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov Automatic detection of Feature Envy and Data Class code smells using machine learning (Article)
Autori Skipina Milica G  Slivka Jelena J  Luburic Nikola M  Kovacevic Aleksandar D 
Info EXPERT SYSTEMS WITH APPLICATIONS, (2024), vol. 243 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 ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov Assessing code readability in Python programming courses using eye-tracking (Article)
Autori Segedinac Milan T  Savic Goran Z  Zeljkovic Ivana  Slivka Jelena J  Konjovic Zora 
Info COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, (2024), vol. 32 br. 1, str. -
Projekat This research was supported by the Science Fund of the Republic of Serbia, Grant No 6521051, AI-Clean CaDET and the Ministry of Science, Technological Development and Innovation through project no. 451-03-47/2023-01/200156 "Innovative scientific and artist [6521051, AI-Clean CaDET]; Science Fund of the Republic of Serbia [451-03-47/2023-01/200156]; Ministry of Science, Technological Development and Innovation
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov Towards a systematic approach to manual annotation of code smells (Article)
Autori Slivka Jelena J  Luburic Nikola M  Prokic Simona B  Grujic Katarina-Glorija G  Kovacevic Aleksandar D  Sladic Goran S  Vidakovic Dragan Lj 
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 ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Automatic detection of Long Method and God Class code smells through neural source code embeddings (Article)
Autori Kovacevic Aleksandar D  Slivka Jelena J  Vidakovic Dragan Lj  Grujic Katarina-Glorija G  Luburic Nikola M  Prokic Simona B  Sladic Goran S 
Info EXPERT SYSTEMS WITH APPLICATIONS, (2022), vol. 204 br. , str. -
Projekat Science Fund of the Republic of Serbia [6521051]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
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