Background: Define Requirements Engineering (RE) as a foundational phase in software development and introduce Generative AI (GenAI) as the new frontier in automating these tasks. 

Evolution: Discuss the shift from traditional NLP to Large Language Models (LLMs). 

Table 1: Comparison of Existing Surveys (Section 1) Suggestion: Compare this study with others from 2023–2024 regarding GenAI in RE. 

Fig. 1: Timeline of AI in RE (Section 1) Suggestion: Map the transition from rule-based AI to Transformer-based GenAI. 

Conclusion: Noteworthy contribution of this study.  

2. Survey Methodology 

Framework: Describe the Systematic Literature Review (SLR) based on PRISMA guidelines. 

2.1. Inclusion and Exclusion Criteria: Establish parameters such as “English-only” and “LLM-focused research”. 

2.2. Search Strategy and Data Sources: List keywords (e.g., “LLM,” “Prompt Engineering”) and databases (IEEE Xplore, ScienceDirect).