Temporal dynamics of requirements engineering from mobile app reviews (2022)
- Authors:
- USP affiliated authors: MARCACINI, RICARDO MARCONDES - ICMC ; ARAUJO, ADAILTON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.7717/peerj-cs.874
- Subjects: APRENDIZADO COMPUTACIONAL; MINERAÇÃO DE DADOS; RECONHECIMENTO DE TEXTO; ANÁLISE DE REQUISITOS; APLICATIVOS MÓVEIS
- Keywords: App reviews; Opinion mining; Requirement extraction; Requirement engineering; Temporal dynamics; Emerging issue
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: PeerJ Computer Science
- ISSN: 2376-5992
- Volume/Número/Paginação/Ano: v. 8, p. 1-26, 2022
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
LIMA, Vitor Mesaque Alves de e ARAUJO, Adailton Ferreira de e MARCACINI, Ricardo Marcondes. Temporal dynamics of requirements engineering from mobile app reviews. PeerJ Computer Science, v. 8, p. 1-26, 2022Tradução . . Disponível em: https://doi.org/10.7717/peerj-cs.874. Acesso em: 28 dez. 2025. -
APA
Lima, V. M. A. de, Araujo, A. F. de, & Marcacini, R. M. (2022). Temporal dynamics of requirements engineering from mobile app reviews. PeerJ Computer Science, 8, 1-26. doi:10.7717/peerj-cs.874 -
NLM
Lima VMA de, Araujo AF de, Marcacini RM. Temporal dynamics of requirements engineering from mobile app reviews [Internet]. PeerJ Computer Science. 2022 ; 8 1-26.[citado 2025 dez. 28 ] Available from: https://doi.org/10.7717/peerj-cs.874 -
Vancouver
Lima VMA de, Araujo AF de, Marcacini RM. Temporal dynamics of requirements engineering from mobile app reviews [Internet]. PeerJ Computer Science. 2022 ; 8 1-26.[citado 2025 dez. 28 ] Available from: https://doi.org/10.7717/peerj-cs.874 - Hierarchical cluster labeling of software requirements using contextual word embeddings
- RE-BERT: automatic extraction of software requirements from app reviews using BERT language model
- Detecting relevant app reviews for software evolution and maintenance through multimodal one-class learning
- Opinion mining for app reviews: an analysis of textual representation and predictive models
- From reviews to features: opinion mining from user reviews with neural language model
- Aprendizado de máquina com informação privilegiada: abordagens para agrupamento hierárquico de textos
- Opinion mining for App reviews: identifying and prioritizing emerging issues for software maintenance and evolution
- Complaint analysis in fintech domain: a case study in Brazilian brokerage firms
- Named Entity Recognition approaches applied to legal document segmentation
- Issue detection and prioritization based on mobile application reviews
Informações sobre o DOI: 10.7717/peerj-cs.874 (Fonte: oaDOI API)
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