Issue detection and prioritization based on mobile application reviews (2025)
- Authors:
- Autor USP: MARCACINI, RICARDO MARCONDES - ICMC
- Unidade: ICMC
- DOI: 10.1007/s11219-024-09703-2
- Subjects: APRENDIZADO COMPUTACIONAL; MINERAÇÃO DE DADOS; PROCESSAMENTO DE LINGUAGEM NATURAL; RECONHECIMENTO DE TEXTO; ENGENHARIA DE SOFTWARE; APLICATIVOS MÓVEIS
- Keywords: Opinion mining; App reviews; Issue detection; Issue prioritization
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Software Quality Journal
- ISSN: 0963-9314
- Volume/Número/Paginação/Ano: v. 33, n. 1, p. 1-35, Mar. 2025
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
LIMA, Vitor Mesaque Alves de e BARBOSA, Jacson Rodrigues e MARCACINI, Ricardo Marcondes. Issue detection and prioritization based on mobile application reviews. Software Quality Journal, v. 33, n. 1, p. 1-35, 2025Tradução . . Disponível em: https://doi.org/10.1007/s11219-024-09703-2. Acesso em: 31 mar. 2026. -
APA
Lima, V. M. A. de, Barbosa, J. R., & Marcacini, R. M. (2025). Issue detection and prioritization based on mobile application reviews. Software Quality Journal, 33( 1), 1-35. doi:10.1007/s11219-024-09703-2 -
NLM
Lima VMA de, Barbosa JR, Marcacini RM. Issue detection and prioritization based on mobile application reviews [Internet]. Software Quality Journal. 2025 ; 33( 1): 1-35.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1007/s11219-024-09703-2 -
Vancouver
Lima VMA de, Barbosa JR, Marcacini RM. Issue detection and prioritization based on mobile application reviews [Internet]. Software Quality Journal. 2025 ; 33( 1): 1-35.[citado 2026 mar. 31 ] Available from: https://doi.org/10.1007/s11219-024-09703-2 - Complaint analysis in fintech domain: a case study in Brazilian brokerage firms
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- Legal document segmentation and labeling through named entity recognition approaches
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