A Comparative Study of Contemporary Learning Paradigms in Bug Report Priority Detection

A Comparative Study of Contemporary Learning Paradigms in Bug Report Priority Detection

<p dir="ltr">The increasing complexity of software development demands efficient automated bug report priority classification, and recent advancements in deep learning hold promise. This paper presents a comparative study of contemporary learning paradigms, including BERT, vector dat...

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Bibliographic Details
Main Author: Eyüp Halit Yilmaz (21400700) (author)
Other Authors: İsmail Hakki Toroslu (21400703) (author), Ömer Köksal (21400706) (author)
Published: 2024
Subjects:
Information and computing sciences
Applied computing
Artificial intelligence
Data management and data science
Machine learning
Software engineering
Bug triaging
Contrastive learning
Natural language processing
Software bug report classification
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