Technical debt prioritization: methods, techniques, and a large exploratory study (2023)
Unidade: IMESubjects: DESENVOLVIMENTO DE SOFTWARE, INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
ABNT
PINA, Diogo de Jesus. Technical debt prioritization: methods, techniques, and a large exploratory study. 2023. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-11092023-221224/. Acesso em: 19 ago. 2024.APA
Pina, D. de J. (2023). Technical debt prioritization: methods, techniques, and a large exploratory study (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-11092023-221224/NLM
Pina D de J. Technical debt prioritization: methods, techniques, and a large exploratory study [Internet]. 2023 ;[citado 2024 ago. 19 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-11092023-221224/Vancouver
Pina D de J. Technical debt prioritization: methods, techniques, and a large exploratory study [Internet]. 2023 ;[citado 2024 ago. 19 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-11092023-221224/