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ANN Modelling on Vulnerabilities Detection in Code Smells-Associated Android Applications Cover

ANN Modelling on Vulnerabilities Detection in Code Smells-Associated Android Applications

Foundations of Computing and Decision Sciences
Volume 47 (2022): Issue 1 (February 2022)
By: Aakanshi Gupta,  Deepanshu Sharma and  Kritika Phulli  
Open Access
|Feb 2022
DOI: https://doi.org/10.2478/fcds-2022-0001 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
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Language: English
Page range: 3 - 26
Submitted on: Jan 15, 2021
Accepted on: Sep 30, 2021
Published on: Feb 23, 2022
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Software Vulnerabilities,
Code Smells,
Android,
ANN,
Apriori Algorithm,
Deep Learning,
Machine Learning
Related subjects:
Computer sciences,
Artificial intelligence,
Software development

© 2022 Aakanshi Gupta, Deepanshu Sharma, Kritika Phulli, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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