A novel hybrid deep learning model for detecting and classifying non-functional requirements of mobile apps issues
As a result of the speed and availability of the Internet, mobile devices and apps are in widespread usage throughout the world. Thus, they can be seen in the hands of nearly every person, helping us in our daily activities to accomplish many tasks with less effort and without wasting time. However,...
Saved in:
Main Authors: | Yahya, Abdulsamad E., Gharbi, Atef, Yafooz, Wael M. S., Al-Dhaqm, Arafat |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI
2023
|
Subjects: | |
Online Access: | http://eprints.utm.my/106603/1/ArafatMohammedRashad2023_ANovelHybridDeepLearningModel.pdf http://eprints.utm.my/106603/ http://dx.doi.org/10.3390/electronics12051258 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A novel approach for classifying brain tumours combining a squeezenet model with SVM and fine-tuning
by: Mohammed Rasool, Mohammed Rasool, et al.
Published: (2023) -
A novel administration model for managing and organising the heterogeneous information security policy field
by: Alotaibi, Fahad Mazaed, et al.
Published: (2023) -
An investigation into requirement of mobile app for apartment residents
by: Haini, Mohammad Shazreen, et al.
Published: (2019) -
Functional requirements of mobile application for fishermen
by: Akanmu, Semiu Ayobami, et al.
Published: (2013) -
Eliciting Security Requirments For Mobile Apps: A Replication Study
by: Yusop, Noorrezam, et al.
Published: (2017)