Systematic Literature Review of Prompt Engineering Patterns in Software Engineering
Advancements in large language models (LLMs) are transforming software engineering through innovative prompt engineering strategies. By analyzing prompt-driven enhancements across key software engineering tasks, we present a sys-tematic literature review and a pioneering taxonomy elucidating the pra...
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Published in | 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC) pp. 670 - 675 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
02.07.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Advancements in large language models (LLMs) are transforming software engineering through innovative prompt engineering strategies. By analyzing prompt-driven enhancements across key software engineering tasks, we present a sys-tematic literature review and a pioneering taxonomy elucidating the practical applications of prompt engineering in software engineering. Our taxonomy offers a foundational framework that clarifies the roles of prompt engineering and measures its impact, thereby guiding evolving AI -driven software engineering research and practices. |
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ISSN: | 2836-3795 |
DOI: | 10.1109/COMPSAC61105.2024.00096 |