Deep Learning-Based Defect Prediction for Mobile Applications

Smartphones have enabled the widespread use of mobile applications. However, there are unrecognized defects of mobile applications that can affect businesses due to a negative user experience. To avoid this, the defects of applications should be detected and removed before release. This study aims t...

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Detalles Bibliográficos
Autores principales: Jorayeva, Manzura, Akbulut, Akhan, Catal, Cagatay, Mishra, Alok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268998/
https://www.ncbi.nlm.nih.gov/pubmed/35808230
http://dx.doi.org/10.3390/s22134734

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9268998/
https://www.ncbi.nlm.nih.gov/pubmed/35808230
http://dx.doi.org/10.3390/s22134734

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