Replication Package: Generative AI in Requirements Engineering Education — Survey Data and Analysis Scripts

This replication package accompanies a manuscript submitted for double-blind peer review. It contains an anonymized survey dataset (N=120) and the complete analysis pipeline required to reproduce all descriptive and inferential statistics reported in the paper. The study investigates how undergraduate software engineering students adopt and use generative AI tools during Software Requirements Specification (SRS) tasks across two successive cohorts (2025 and 2026). The package includes the anonymized dataset in XLSX and CSV formats, as well as three Python scripts for data preprocessing, descriptive statistics, and inferential statistics (Cronbach's alpha, Spearman correlations, Kruskal-Wallis H, Mann-Whitney U, and Dunn post-hoc tests). See README.md inside the archive for full documentation.