Dataset for Requirements Analysis in Software Engineering Using Large Language Models

This dataset supports the transparency and reproducibility of the systematic literature review and procedures reported in the article "Requirements Analysis in Software Engineering Using Large Language Models."The folder "01-Need for a SLR search results" documents the initial automated search process conducted in the Scopus and Web of Science databases. It includes the retrieved records based on the filters applied during the preliminary review of related literature.The folder "02-Automatic search results" contains the subsequent search stages carried out across selected digital library databases (IEEE Xplore, ACM Digital Library, ScienceDirect, and Scopus). It includes exported bibliographic records organized by search strings, as well as the inclusion and exclusion steps applied.The folder "03-Atlas.TI" contains all the data used and generated by the cualitatite data manager software.The file "Dataset.xlsx" serves as the main dataset. It contains fully curated data from the entire review process, including metadata for the selected studies: titles, venues, publication year, AI techniques, LLMs used, prompting strategies, evaluation methods, reported benefits, reported limitations and research gaps identified. It also includes raw and normalized quality assessment scores, aligned with the Kitchenham's methodology for software engineering research.Together, these materials enable full reproducibility of the review and provide a structured foundation for future research in AI-assisted web accessibility.