Rough Noise-Filtered Easy Ensemble for Software Fault Prediction

Rough Noise-Filtered Easy Ensemble for Software Fault Prediction

Software fault prediction is the very important research topic for software quality assurance. Data-driven approaches provide robust mechanisms to deal with software fault prediction. However, the prediction performance of the model highly depends on the quality of the data set. Many software data s...

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Bibliographic Details
Main Authors: Saman Riaz, Ali Arshad, Licheng Jiao
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Software fault prediction
data preprocessing
feature selection
rough set theory
class imbalance
noise filter
Online Access:https://ieeexplore.ieee.org/document/8435900/

Internet

https://ieeexplore.ieee.org/document/8435900/

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