Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap
July 10, 2025 Β· Declared Dead Β· π 2025 IEEE 33rd International Requirements Engineering Conference Workshops (REW)
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Authors
Kaicheng Huang, Fanyu Wang, Yutan Huang, Chetan Arora
arXiv ID
2507.07682
Category
cs.SE: Software Engineering
Citations
5
Venue
2025 IEEE 33rd International Requirements Engineering Conference Workshops (REW)
Last Checked
4 months ago
Abstract
Advancements in large language models (LLMs) have led to a surge of prompt engineering (PE) techniques that can enhance various requirements engineering (RE) tasks. However, current LLMs are often characterized by significant uncertainty and a lack of controllability. This absence of clear guidance on how to effectively prompt LLMs acts as a barrier to their trustworthy implementation in the RE field. We present the first roadmap-oriented systematic literature review of Prompt Engineering for RE (PE4RE). Following Kitchenham's and Petersen's secondary-study protocol, we searched six digital libraries, screened 867 records, and analyzed 35 primary studies. To bring order to a fragmented landscape, we propose a hybrid taxonomy that links technique-oriented patterns (e.g., few-shot, Chain-of-Thought) to task-oriented RE roles (elicitation, validation, traceability). Two research questions, with five sub-questions, map the tasks addressed, LLM families used, and prompt types adopted, and expose current limitations and research gaps. Finally, we outline a step-by-step roadmap showing how today's ad-hoc PE prototypes can evolve into reproducible, practitioner-friendly workflows.
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