An Adversarial Discriminative Convolutional Neural Network for Cross-Project Defect Prediction

An Adversarial Discriminative Convolutional Neural Network for Cross-Project Defect Prediction

Cross-project defect prediction (CPDP) is a promising approach to help to allocate testing efforts efficiently and guarantee software reliability in the early software lifecycle. A CPDP method usually trains a software defect classifier based on labeled data sets. Then the trained classifier can pre...

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Bibliographic Details
Main Authors: Lei Sheng, Lu Lu, Junhao Lin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cross-project defect prediction
transfer learning
adversarial learning
deep learning
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9042290/

Internet

https://ieeexplore.ieee.org/document/9042290/

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