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Large Language Models for Software Engineering: A Systematic Literature Review

A systematic literature review on the application and effects of Large Language Models in Software Engineering.

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Large Language Models for Software Engineering: A Systematic Literature Review

By Xinyi Hou, Yanjie Zhao, Yue Liu
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The authors conducted a systematic literature review to understand how Large Language Models can optimize processes in Software Engineering. They analyzed recent publications exploring LLMs applied to various SE tasks, highlighting their applications, effects, and limitations.

The study aims to bridge the gap in understanding the potential of LLMs in SE.

Abstract

The authors conducted a systematic literature review to understand how Large Language Models can optimize processes in Software Engineering. They analyzed recent publications exploring LLMs applied to various SE tasks, highlighting their applications, effects, and limitations. The study aims to bridge the gap in understanding the potential of LLMs in SE.

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Large Language Models for Software Engineering: A Systematic Literature Review | Aramai