Replication Package: Impacts of Generative Artificial Intelligence on Cognitive Debt in Software Engineering Students

This repository contains the replication package for an exploratory quantitative study investigating the impacts of Generative Artificial Intelligence (GenAI) tools on the accumulation of Cognitive Debt among Software Engineering students. The investigation focuses on two core pedagogical contexts: software development (Project II) and conceptual modeling (Requirements Engineering). The objective of this package is to ensure full transparency, auditability, and reproducibility of all statistical tests, data metrics, and visualization charts discussed in the manuscript submitted to SBQS 2026. Repository Contents:- /data/: Anonymized datasets containing consolidated survey responses from both academic groups (Project II, n=22; Requirements Engineering, n=19). All identifying metrics, text logs, and timestamps have been removed to protect participant privacy.- /src/: The Notebook script (`analysis.ipynb`) natively designed for Google Colab, containing the complete pipeline for data preprocessing, descriptive statistics, and non-parametric inferential tests (Mann-Whitney U, Spearman's Rank Correlation, and Fisher's Exact Test).- /docs/: Comprehensive documentation of the survey instruments used in both courses, detailing the analytical dimensions and mapping of the underlying Likert scales. ---*Note on Double-Blind Review: In strict compliance with the SBQS 2026 evaluation guidelines, author identities, institutional affiliations, and the persistent public repository DOI are temporarily omitted or blinded during the peer-review stage.*