z-logo
open-access-imgOpen Access
An Empirical Comparison of Resampling Ensemble Methods of Deep Learning Neural Networks for Cross-Project Software Defect Prediction
Author(s) -
Mahmoud O. Elish,
Karim O. Elish
Publication year - 2021
Publication title -
international journal of intelligent engineering and systems
Language(s) - English
Resource type - Journals
eISSN - 2185-310X
pISSN - 1882-708X
DOI - 10.22266/ijies2021.0630.18
Subject(s) - computer science , resampling , artificial neural network , artificial intelligence , machine learning , ensemble learning , software , deep learning , deep neural networks , software bug , data mining , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here