Within‐project and cross‐project just‐in‐time defect prediction based on denoising autoencoder and convolutional neural network
Author:
Affiliation:
1. School of Computer Science Wuhan University No.299 Bayi Road Wuhan People's Republic of China
2. Artificial Intelligence Institute Shanghai Jiaotong University No.800 Dongchuan Road Shanghai People's Republic of China
Funder
Innovative Research Group Project of the National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Graphics and Computer-Aided Design
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-sen.2019.0278
Reference40 articles.
1. Studying just-in-time defect prediction using cross-project models
2. Revisiting supervised and unsupervised models for effort-aware just-in-time defect prediction;Huang Q.;Empir. Softw. Eng.,2018
3. TLEL: A two-layer ensemble learning approach for just-in-time defect prediction
4. A large-scale empirical study of just-in-time quality assurance
5. Zhang Y. Chan W. Jaitly N.: ‘Very deep convolutional networks for end-to-end speech recognition’.2017 IEEE Int. Conf. on Acoustics Speech and Signal Processing (ICASSP) New Orleans LA USA September2017
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