Supporting Evidence-Based Software Package Selection in Python: Data, Scripts, and Evaluation

The repository also contains the indexed knowledge base files generated from normalized usage and domain features, which form the foundation of the recommendation functionality. To support transparency in the conceptual foundations of the system, we provide the literature study compiled during the research, which outlines key themes and related work in software reuse, package recommendation, and empirical software engineering.

Finally, all materials from the user study are included, such as survey instruments, anonymized participant responses, and analysis results based on the Technology Acceptance Model (TAM). This archive is intended to support replication, critical review, and further research on empirical approaches to developer tooling and software dependency management. All content is provided for reuse under the accompanying license.