MApp-IDEA: monitoring app for issue detection and prioritization (2023)
- Authors:
- Autor USP: MARCACINI, RICARDO MARCONDES - ICMC
- Unidade: ICMC
- DOI: 10.1145/3613372.3613417
- Subjects: MINERAÇÃO DE DADOS; APRENDIZADO COMPUTACIONAL; APLICATIVOS MÓVEIS; ANÁLISE DE TEXTO
- Keywords: opinion mining; app reviews; issue detection; issue prioritization
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: Brazilian Symposium on Software Engineering - SBES
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
LIMA, Vitor Mesaque Alves de e BARBOSA, Jacson Rodrigues e MARCACINI, Ricardo Marcondes. MApp-IDEA: monitoring app for issue detection and prioritization. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3613372.3613417. Acesso em: 16 abr. 2026. -
APA
Lima, V. M. A. de, Barbosa, J. R., & Marcacini, R. M. (2023). MApp-IDEA: monitoring app for issue detection and prioritization. In Proceedings. New York: ACM. doi:10.1145/3613372.3613417 -
NLM
Lima VMA de, Barbosa JR, Marcacini RM. MApp-IDEA: monitoring app for issue detection and prioritization [Internet]. Proceedings. 2023 ;[citado 2026 abr. 16 ] Available from: https://doi.org/10.1145/3613372.3613417 -
Vancouver
Lima VMA de, Barbosa JR, Marcacini RM. MApp-IDEA: monitoring app for issue detection and prioritization [Internet]. Proceedings. 2023 ;[citado 2026 abr. 16 ] Available from: https://doi.org/10.1145/3613372.3613417 - MApp-IDEA: design and architecture of the analytical data exploration tool from app reviews
- Named Entity Recognition approaches applied to legal document segmentation
- Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution
- Characterization of co-authorship networks of CNPq productivity fellows: an approach based on data science
- iRisk: a scalable microservice for classifying issue risks based on crowdsourced App reviews
- Monitoring temporal dynamics of issues in crowdsourced user reviews and their impact on mobile App updates
- Issue detection and prioritization based on mobile application reviews
- Complaint analysis in digital banks: topic modeling based on large language model
- DODFMiner: an automated tool for named entity recognition from Official Gazettes
- Legal document segmentation and labeling through named entity recognition approaches
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