Supplementary Material for A Conceptual Model for Born-Accessible Web Accessibility Remediation Using Large Language Models

This dataset supports the transparency and reproducibility of the systematic literature review and procedures reported in the article "A Conceptual Model for Born-Accessible Web Accessibility Remediation Using Large Language Models."

The folder "01-Related Work 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 (Scopus, Web of Science, and arXiv). It includes exported bibliographic records organized by search strings, as well as the inclusion and exclusion steps applied.

The file "Dataset_Conceptual_model_Web_Accessibility.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, and referenced accessibility standards. It also includes raw and normalized quality assessment scores, aligned with the Kitchenham's methodology for software engineering research. Also includes a link to the code repository for the validation phase of the model.

Together, these materials enable full reproducibility of the review and provide a structured foundation for future research in AI-assisted web accessibility.