What type of study is this?

This is a Systematic Review study.

October 13, 2025Open Access

Large Language Models (LLMs) for Requirements Engineering (RE): A Systematic Literature Review

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Authors

MZMohammad Amin ZadenooriIstituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"JDJacek DąbrowskiWarsaw University of Technology WAWaad AlhoshanImam Mohammad ibn Saud Islamic University

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Implication

Systematic literature review identifies key applications of large language models in requirements engineering, indicating significant evolution in methodology and scope.

Key Points

The study reveals LLMs primarily aid in requirements elicitation and validation, shifting from past applications focused on defect detection.
A total of 74 primary studies published from 2023 to 2024 were systematically reviewed, demonstrating notable trends in research directions and challenges.
Methodological assessments highlight the predominant use of GPT-based models and prompting strategies like Zero-shot and Few-shot within controlled environments.
Future directions are outlined, emphasizing the need for real-world testing, expanded application scopes, and improved integration of LLMs in software engineering.

Cite This Study

Zadenoori et al. (2025) studied this question.

synapsesocial.com/papers/68ecfebf950606aabec094a9 https://doi.org/10.48550/arxiv.2509.11446

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Implication

Systematic literature review identifies key applications of large language models in requirements engineering, indicating significant evolution in methodology and scope.

Large Language Models (LLMs) for Requirements Engineering (RE): A Systematic Literature Review

Discussion

Member takes

Implication

Key Points

Cite This Study

Large Language Models (LLMs) for Requirements Engineering (RE): A Systematic Literature Review

Discussion

Member takes

Implication

Key Points

Cite This Study

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