Holistic Parameter Optimization for Software Defect Prediction

Holistic Parameter Optimization for Software Defect Prediction

A software defect prediction (SDP) model identifies the defect-prone modules. Setting appropriate parameters in an SDP model is critical because it affects the model performance. In a recent study, parameters were automatically explored using an optimization algorithm. However, such studies did not...

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Bibliographic Details
Main Authors: Jaewook Lee, Jiwon Choi, Duksan Ryu, Suntae Kim
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Meta-heuristics
harmony search algorithm
software defect prediction
optimization
class imbalance
cost-sensitive learning
Online Access:https://ieeexplore.ieee.org/document/9910172/

Internet

https://ieeexplore.ieee.org/document/9910172/

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