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Enhancing Bug Report Summaries Through Knowledge-Specific and Contrastive Learning Pre-Training

Bug reports are crucial in software maintenance, with concise summaries significantly enhancing the efficiency of bug triagers and ultimately contributing to the development of high-quality software products. Contemporary methods for automatic bug report summarization primarily utilize neural networ...

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Principais autores: Yunna Shao, Bangmeng Xiang
Formato: Artigo
Idioma:Inglês
Publicado em: IEEE 2024-01-01
coleção:IEEE Access
Assuntos:
Bug report summarization
domain-specific pre-training
software maintenance
representation learning
Acesso em linha:https://ieeexplore.ieee.org/document/10443461/
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