From Pattern Description to Empirical Assessment: A Mixed-Methods Study of Mobile Crypto Wallet Patterns — Replication Dataset

Raw data and reproduction scripts underlying the study "From Pattern Description to Empirical Assessment: A Mixed-Methods Study of Mobile Crypto Wallet Patterns." The package documents two independent empirical strands. SUS survey. Two anonymized instruments (administered in Spanish via Google Forms) capturing developers' usability assessments with a four-item adaptation of the System Usability Scale (SUS, 0–100): four proposed mobile crypto-wallet patterns (n=23) and six Gang-of-Four calibration patterns (n=27), with participants 1–23 forming a paired cohort. Self-contained scripts (pinned Python environment) regenerate every reported statistic — sample sizes, contingency tables and Cramér's V, all ten per-pattern SUS means, correlation matrices, and the SUS boxplot — plus extended reliability and non-parametric inferential analyses. Refactoring-to-Patterns assessment. The manually coded matrix and the sixteen anonymized UML designs that three evaluators inspected to determine whether and how each wallet pattern was recognized and instantiated, with a standard-library script that regenerates the four reported tables (identification, correctness, noise, and naming). Important: the subject numbering of the two strands is independent — the same number denotes different people in each strand — and the datasets must not be joined on those identifiers.