Subjects: ALGORITMOS, ENGENHARIA DE SOFTWARE, INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS, DESENVOLVIMENTO DE SOFTWARE, SOFTWARE LIVRE
ABNT
GUT, Christian. Analyzing productivity in open source software development: an explainable AI approach using SHAP and causal discovery. 2025. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2025. Disponível em: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-01092025-084702/. Acesso em: 02 jan. 2026.APA
Gut, C. (2025). Analyzing productivity in open source software development: an explainable AI approach using SHAP and causal discovery (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-01092025-084702/NLM
Gut C. Analyzing productivity in open source software development: an explainable AI approach using SHAP and causal discovery [Internet]. 2025 ;[citado 2026 jan. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-01092025-084702/Vancouver
Gut C. Analyzing productivity in open source software development: an explainable AI approach using SHAP and causal discovery [Internet]. 2025 ;[citado 2026 jan. 02 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-01092025-084702/
