DeepRLGUIMAT: Deep Reinforcement Learning-based GUI Mobile Application Testing Approach (2022)
Unidade: ICMCSubjects: APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO MÓVEL, APLICATIVOS MÓVEIS, SOFTWARES
ABNT
RIBEIRO, Eliane Figueiredo Collins. DeepRLGUIMAT: Deep Reinforcement Learning-based GUI Mobile Application Testing Approach. 2022. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2022. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-03062022-162453/. Acesso em: 23 ago. 2024.APA
Ribeiro, E. F. C. (2022). DeepRLGUIMAT: Deep Reinforcement Learning-based GUI Mobile Application Testing Approach (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-03062022-162453/NLM
Ribeiro EFC. DeepRLGUIMAT: Deep Reinforcement Learning-based GUI Mobile Application Testing Approach [Internet]. 2022 ;[citado 2024 ago. 23 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-03062022-162453/Vancouver
Ribeiro EFC. DeepRLGUIMAT: Deep Reinforcement Learning-based GUI Mobile Application Testing Approach [Internet]. 2022 ;[citado 2024 ago. 23 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-03062022-162453/