SumLLaMA: Efficient Contrastive Representations and Fine-Tuned Adapters for Bug Report Summarization

In software maintenance, concise summaries of bug reports are crucial, significantly enhancing developer efficiency and ultimately improving software quality and user experience. Large language models (LLMs) have become the standard method for bug report summarization due to their powerful represent...

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Detalhes bibliográficos

Principais autores:	Bangmeng Xiang, Yunna Shao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2024-01-01
coleção:	IEEE Access
Assuntos:	Bug report summarization efficient fine-tuning software maintenance contrastive representation
Acesso em linha:	https://ieeexplore.ieee.org/document/10521511/
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