(Artifact) Empirical Insights on the Use of Large Language Models in Software Verification and Validation: Evidence from the Brazilian IT Industry

This repository contains the survey instrument and the corresponding responses used as the empirical foundation for the study “Empirical Insights on the Use of Large Language Models in Software Verification and Validation: Evidence from the Brazilian IT Industry.” The dataset includes: The full questionnaire (survey form) designed to investigate the adoption and usage of Large Language Models (LLMs) in software verification and validation activities. Anonymized responses collected from professionals in the Brazilian IT industry. Supporting materials and metadata necessary to understand the structure and context of the data. The purpose of this repository is to promote transparency, reproducibility, and further research on the application of LLMs in software engineering practices, particularly in verification and validation processes. All responses have been anonymized to preserve participant privacy. The dataset can be used for academic and research purposes, subject to appropriate citation of the original study.