Search Results - "Slivka, Jelena"

Using ChatGPT to annotate a dataset: A case study in intelligent tutoring systems by Vujinović, Aleksandar, Luburić, Nikola, Slivka, Jelena, Kovačević, Aleksandar

“…Large language models like ChatGPT can learn in-context (ICL) from examples. Studies showed that, due to ICL, ChatGPT achieves impressive performance in…”
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Automatic detection of Feature Envy and Data Class code smells using machine learning by Škipina, Milica, Slivka, Jelena, Luburić, Nikola, Kovačević, Aleksandar

“…Code smells in software indicate poor design and implementation choices. Detecting and removing them is critical for sustainable software development. Machine…”
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Prescriptive procedure for manual code smell annotation by Prokić, Simona, Luburić, Nikola, Slivka, Jelena, Kovačević, Aleksandar

“…•We propose prescriptive procedure for manual code smell annotation.•We built high-quality dataset suitable for training ML models for code smell detection.•C#…”
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Automatic detection of Long Method and God Class code smells through neural source code embeddings by Kovačević, Aleksandar, Slivka, Jelena, Vidaković, Dragan, Grujić, Katarina-Glorija, Luburić, Nikola, Prokić, Simona, Sladić, Goran

“…•We compare machine learning approaches against heuristics for code smell detection.•We use metrics and code embeddings as code representations for machine…”
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Assessing code readability in Python programming courses using eye‐tracking by Segedinac, Milan, Savić, Goran, Zeljković, Ivana, Slivka, Jelena, Konjović, Zora

“…Code readability models are typically based on the code's structural and textual features, considering code readability as an objective category. However,…”
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The challenges of migrating an active learning classroom online in a crisis by Luburić, Nikola, Slivka, Jelena, Sladić, Goran, Milosavljević, Gordana

“…The coronavirus disease of 2019 (COVID‐19) pandemic has severely crippled our globalized society. Despite the chaos, much of our civilization continued to…”
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A framework for designing software engineering project-based learning experiences based on the 4 C/ID model by Luburić, Nikola, Slivka, Jelena, Dorić, Luka, Prokić, Simona, Kovačević, Aleksandar

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Automatic detection of code smells using metrics and CodeT5 embeddings: a case study in C# by Kovačević, Aleksandar, Luburić, Nikola, Slivka, Jelena, Prokić, Simona, Grujić, Katarina-Glorija, Vidaković, Dragan, Sladić, Goran

“…Code smells are poorly designed code structures indicating that the code may need to be refactored. Recognizing code smells in practice is complex, and…”
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Towards a systematic approach to manual annotation of code smells by Slivka, Jelena, Luburić, Nikola, Prokić, Simona, Grujić, Katarina-Glorija, Kovačević, Aleksandar, Sladić, Goran, Vidaković, Dragan

“…Code smells are structures in code that may indicate maintainability issues. They are challenging to define, and software engineers detect them differently…”
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A Framework for Teaching Security Design Analysis Using Case Studies and the Hybrid Flipped Classroom by Luburic, Nikola, Sladic, Goran, Slivka, Jelena, Milosavljevic, Branko

“…With ever-greater reliance of the developed world on information and communication technologies, constructing secure software has become a top priority. To…”
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Adaptivni Sistem Za Automatsku Polu-Nadgledanu Klasifikaciju Podataka by Slivka, Jelena

“…Cilj– Cilj istraživanja u okviru doktorske disertacije je razvoj sistema za automatsku polu-nadgledanu klasifikaciju podataka. Sistem bi trebao biti primenljiv…”
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Semi-supervised detection of Long Method and God Class code smells by Brdar, Ilija, Vlajkov, Jelena, Slivka, Jelena, Grujic, Katarina-Glorija, Kovacevic, Aleksandar

“…Code smells are poorly designed parts of code whose removal is essential for sustainable software development. However, recognizing code smells in practice is…”
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Clean Code and Design Educational Tool by Prokic, Simona, Grujic, Katarina-Glorija, Luburic, Nikola, Slivka, Jelena, Kovacevic, Aleksandar, Vidakovic, Dragan, Sladic, Goran

“…Many different code snippets can implement the same software feature. However, a significant subset of these possible solutions contains…”
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Semi-Supervised Learning on Single-View Datasets by Integration of Multiple Co-trained Classifiers by Slivka, J., Ping Zhang, Kovacevic, A., Konjovic, Z., Obradovic, Z.

“…We propose a novel semi-supervised learning algorithm, called IMCC, designed for co-training classifiers on single-view datasets. Our method runs the…”
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