Siamese Dense Neural Network for Software Defect Prediction With Small Data

Siamese Dense Neural Network for Software Defect Prediction With Small Data

Software defect prediction (SDP) exerts a major role in software development, concerning reducing software costs and ensuring software quality. However, developing an accurate SDP model is still a severe and challenging task with the lack of training data. Fortunately, Siamese networks are powerful...

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Bibliographic Details
Main Authors: Linchang Zhao, Zhaowei Shang, Ling Zhao, Anyong Qin, Yuan Yan Tang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Siamese dense neural networks
deep learning
metric learning
few-shot learning
software defect prediction
Online Access:https://ieeexplore.ieee.org/document/8585009/

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