LLM-Based Usability Inspection: A Systematic Mapping of Automation Strategies, Evidence, and Validation Practices - Dataset

This repository contains the supporting data of the systematic mapping of the literature conducted for the study "LLM-Based Usability Inspection: A Systematic Mapping of Automation Strategies, Evidence, and Validation Practices," which investigates automation strategies for usability inspection based on Large Language Models (LLMs). The mapping followed the protocol defined using the Parsifal tool and covered searches across multiple digital libraries, resulting in 401 retrieved studies and 14 selected primary studies, published between 2022 and 2025. Included files: all articles.xls - Complete list of studies returned by the initial search across the digital libraries, prior to applying inclusion/exclusion criteria. Parsifal Systematic Review.xlsx - Export of the systematic review conducted in the Parsifal tool, including the screening and selection process. Parsifal data extraction.xls - Data extraction spreadsheet for the 14 selected primary studies, including the categories and variables analyzed. Parsifal mapping protocol.pdf - Systematic mapping protocol, containing the research questions, search strings, inclusion/exclusion criteria, and selection strategy. Selected articles.zip - Full-text copies (PDFs) of the 14 primary studies included in the mapping.