Transfer Convolutional Neural Network for Cross-Project Defect Prediction

Transfer Convolutional Neural Network for Cross-Project Defect Prediction

Cross-project defect prediction (CPDP) is a practical solution that allows software defect prediction (SDP) to be used earlier in the software lifecycle. With the CPDP technique, the software defect predictor trained by labeled data of mature projects can be applied for the prediction task of a new...

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Bibliographic Details
Main Authors:	Shaojian Qiu, Hao Xu, Jiehan Deng, Siyu Jiang, Lu Lu
Format:	Article
Language:	English
Published:	MDPI AG 2019-06-01
Series:	Applied Sciences
Subjects:	cross-project defect prediction semantic feature learning transfer learning maximum mean discrepancy
Online Access:	https://www.mdpi.com/2076-3417/9/13/2660

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