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LLM-Driven Feature Inference for Analyzing Student Git Collaboration

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Access
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet IEEE Access
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle LLM-Driven Feature Inference for Analyzing Student Git Collaboration
Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
subject_facet Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
title LLM-Driven Feature Inference for Analyzing Student Git Collaboration
title_auth LLM-Driven Feature Inference for Analyzing Student Git Collaboration
title_full LLM-Driven Feature Inference for Analyzing Student Git Collaboration
title_fullStr LLM-Driven Feature Inference for Analyzing Student Git Collaboration
title_full_unstemmed LLM-Driven Feature Inference for Analyzing Student Git Collaboration
title_short LLM-Driven Feature Inference for Analyzing Student Git Collaboration
title_sort llm-driven feature inference for analyzing student git collaboration
topic Computer Sciience
Technology & Engineering — Computing
Technology & Engineering
url http://ieeexplore.ieee.org/document/11488560