Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution (2024)
- Authors:
- Autor USP: MARCACINI, RICARDO MARCONDES - ICMC
- Unidade: ICMC
- DOI: 10.1145/3701625.3701700
- Subjects: MINERAÇÃO DE DADOS; RECONHECIMENTO DE TEXTO; APRENDIZADO COMPUTACIONAL; ENGENHARIA DE SOFTWARE; APLICATIVOS MÓVEIS
- Keywords: opinion mining; app reviews; issue detection; issue prioritization
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Brazilian Symposium on Software Quality - SBQS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LIMA, Vitor Mesaque Alves de e MARCACINI, Ricardo Marcondes. Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution. 2024, Anais.. New York: ACM, 2024. Disponível em: https://doi.org/10.1145/3701625.3701700. Acesso em: 11 fev. 2026. -
APA
Lima, V. M. A. de, & Marcacini, R. M. (2024). Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution. In Proceedings. New York: ACM. doi:10.1145/3701625.3701700 -
NLM
Lima VMA de, Marcacini RM. Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution [Internet]. Proceedings. 2024 ;[citado 2026 fev. 11 ] Available from: https://doi.org/10.1145/3701625.3701700 -
Vancouver
Lima VMA de, Marcacini RM. Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution [Internet]. Proceedings. 2024 ;[citado 2026 fev. 11 ] Available from: https://doi.org/10.1145/3701625.3701700 - Complaint analysis in fintech domain: a case study in Brazilian brokerage firms
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Informações sobre o DOI: 10.1145/3701625.3701700 (Fonte: oaDOI API)
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