iRisk: a scalable microservice for classifying issue risks based on crowdsourced App reviews (2024)
Lima, Vitor Mesaque Alves de 
; Barbosa, Jacson Rodrigues ; Marcacini, Ricardo Marcondes
Source: Proceedings. Conference titles: IEEE International Conference on Software Maintenance and Evolution - ICSME. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, ENGENHARIA DE SOFTWARE, APLICATIVOS MÓVEIS
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LIMA, Vitor Mesaque Alves de e BARBOSA, Jacson Rodrigues e MARCACINI, Ricardo Marcondes. iRisk: a scalable microservice for classifying issue risks based on crowdsourced App reviews. 2024, Anais.. Los Alamitos: IEEE, 2024. Disponível em: https://doi.org/10.1109/ICSME58944.2024.00091. Acesso em: 08 out. 2025.APA
Lima, V. M. A. de, Barbosa, J. R., & Marcacini, R. M. (2024). iRisk: a scalable microservice for classifying issue risks based on crowdsourced App reviews. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICSME58944.2024.00091NLM
Lima VMA de, Barbosa JR, Marcacini RM. iRisk: a scalable microservice for classifying issue risks based on crowdsourced App reviews [Internet]. Proceedings. 2024 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/ICSME58944.2024.00091Vancouver
Lima VMA de, Barbosa JR, Marcacini RM. iRisk: a scalable microservice for classifying issue risks based on crowdsourced App reviews [Internet]. Proceedings. 2024 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/ICSME58944.2024.00091
