Deep Learning-Based Defect Prediction for Mobile Applications

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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Bibliographic Details
Main Authors: Manzura Jorayeva, Akhan Akbulut, Cagatay Catal, Alok Mishra
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
software defect prediction
software fault prediction
mobile application
Android applications
deep learning
machine learning
Online Access:https://www.mdpi.com/1424-8220/22/13/4734

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