Refined Software Defect Prediction Using Enhanced JAYA Optimization and Extreme Learning Machine

Refined Software Defect Prediction Using Enhanced JAYA Optimization and Extreme Learning Machine

Ensuring the dependability of software before its public release is of utmost importance. Many software issues arise due to human errors made throughout the development process, highlighting the importance of addressing these errors early. It is crucial to incorporate testing resources at the beginn...

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Bibliographic Details
Main Authors: Debasish Pradhan, Debendra Muduli, Abu Taha Zamani, Syed Irfan Yaqoob, Sultan M. Alanazi, Rakesh Ranjan Kumar, Nikhat Parveen, Mohammad Shameem
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Software defect prediction
PCA
LDA
JAYA optimization
ELM
NASA
Online Access:https://ieeexplore.ieee.org/document/10689576/

Internet

https://ieeexplore.ieee.org/document/10689576/

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