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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

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