Context-Focused Prompt Tuning Pre-Trained Code Models to Improve Code Summarization

Xinglu Pan; Chenxiao Liu; Yanzhen Zou; Xianlin Zhao; Bing Xie

doi:10.1109/compsac61105.2024.00177

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JOURNAL ARTICLE

Context-Focused Prompt Tuning Pre-Trained Code Models to Improve Code Summarization

Xinglu Pan Chenxiao Liu Yanzhen Zou Xianlin Zhao Bing Xie

Year: 2024 Pages: 1344-1349

DOI: 10.1109/compsac61105.2024.00177

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Keywords:

Automatic summarization Computer science Code (set theory) Context (archaeology) Code review Artificial intelligence Programming language Static program analysis Software Software development

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Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Context-Focused Prompt Tuning Pre-Trained Code Models to Improve Code Summarization

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