Yanzhou Mu

According to our database, Yanzhou Mu authored at least 9 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study.

Chunyu Zhao, Yanzhou Mu, Xiang Chen, Jingke Zhao, Xiaolin Ju, Gan Wang

Inf. Softw. Technol., 2022

Deep Learning Test Optimization Method Using Multi-objective Optimization.

Yanzhou Mu, Zan Wang, Xiang Chen, Junjie Chen, Jingke Zhao, Jianmin Wang

Int. J. Softw. Informatics, 2022

2021

Revisiting heterogeneous defect prediction methods: How far are we?

Xiang Chen, Yanzhou Mu, Ke Liu, Zhanqi Cui, Chao Ni

Inf. Softw. Technol., 2021

HARS: Heuristic-Enhanced Adaptive Randomized Scheduling for Concurrency Testing.

Yanzhou Mu, Zan Wang, Shuang Liu, Jun Sun, Junjie Chen, Xiang Chen

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2020

Do different cross-project defect prediction methods identify the same defective modules?

Xiang Chen, Yanzhou Mu, Yubin Qu, Chao Ni, Meng Liu, Tong He, Shangqing Liu

J. Softw. Evol. Process., 2020

ALTRA: Cross-Project Software Defect Prediction via Active Learning and Tradaboost.

Zhidan Yuan, Xiang Chen, Zhanqi Cui, Yanzhou Mu

IEEE Access, 2020

2019

Revisiting Heterogeneous Defect Prediction: How Far Are We?

Xiang Chen, Yanzhou Mu, Chao Ni, Zhanqi Cui

CoRR, 2019

DeepCPDP: Deep Learning Based Cross-Project Defect Prediction.

Deyu Chen, Xiang Chen, Hao Li, Junfeng Xie, Yanzhou Mu

IEEE Access, 2019

Cross-project Defect Prediction via ASTToken2Vec and BLSTM-based Neural Network.

Hao Li, Xiaohong Li, Xiang Chen, Xiaofei Xie, Yanzhou Mu, Zhiyong Feng

Proceedings of the International Joint Conference on Neural Networks, 2019