Dataset de Repositório em Clean Architecture para Análise de Violações Arquiteturais

This dataset contains a single open-source software repository following the Clean Architecture pattern, implemented in Python. The dataset was created to support research on architectural violations, detection of architectural smells, and evaluation of structural metrics in software projects. Owing to the costs associated with the generative-AI model API calls, the real-code evaluation was concentrated on a single repository, included in its original form, without modifications, and freely available under its original open-source license. The dataset aims to provide a reproducible foundation for experiments involving: Analysis of architectural violations in Clean Architecture projects Evaluation of software metrics such as coupling and stability Testing and validation of automated architecture smell detection tools Research combining static analysis and AI-driven code inspection Content: clean-architecture-python The repository is documented in the included README.md, which provides authorship, source link, and usage guidance. Intended audience: Researchers, software engineers, and educators interested in software architecture, Clean Architecture, and AI-assisted code analysis.