Shi Ying

发表

An empirical study of the effectiveness of IR-based bug localization for large-scale industrial projects

Qingan Li, Mengting Yuan, Wei Li, 2022, Empirical Software Engineering.

Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network

Kun Zhu, Dandan Zhu, Nana Zhang, 2021, J. Syst. Softw..

A General Software Defect-Proneness Prediction Framework

Qinbao Song, Jin Liu, Shi Ying, 2011, IEEE Transactions on Software Engineering.

Cross-Project and Within-Project Semi-Supervised Software Defect Prediction Problems Study Using a Unified Solution

Baowen Xu, Xiao-Yuan Jing, Mingwei Xu, 2017, 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C).

Cost-sensitive transfer kernel canonical correlation analysis for heterogeneous defect prediction

Baowen Xu, Xiao-Yuan Jing, Shi Ying, 2018, Automated Software Engineering.

Dictionary learning based software defect prediction

Jin Liu, Xiao-Yuan Jing, Shi Ying, 2014, ICSE.

Software defect prediction based on non-linear manifold learning and hybrid deep learning techniques

Qing Zhang, Kun Zhu, Xu Wang, 2020, Computers, Materials & Continua.

KAEA: A Novel Three-stage Ensemble Model for Software Defect Prediction

Shi Ying, Xu Wang, Kun Zhu, 2020 .

WGNCS: A robust hybrid cross-version defect model via multi-objective optimization and deep enhanced feature representation

Dandan Zhu, Nana Zhang, Shi Ying, 2021, Inf. Sci..

Software effort estimation based on open source projects: Case study of Github

Baowen Xu, Xiao-Yuan Jing, Shi Ying, 2017, Inf. Softw. Technol..

Software Defect Prediction Based on Stacked Contractive Autoencoder and Multi-objective Optimization

Xu Wang, Kun Zhu, Shi Ying, 2020, Computers, Materials & Continua.

Within-project and cross-project software defect prediction based on improved transfer Naive Bayes algorithm

Kun Zhu, Xu Wang, Shi Ying, 2020 .

SaaS software performance issue identification using HMRF‐MAP framework

Shi Ying, Rui Wang, Shi Ying, 2018, Softw. Pract. Exp..

Within-project and cross-project just-in-time defect prediction based on denoising autoencoder and convolutional neural network

Shi Ying, Dandan Zhu, Kun Zhu, 2020, IET Softw..

Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine

Kun Zhu, Dandan Zhu, Nana Zhang, 2021, IET Softw..

Software defect prediction based on collaborative representation classification

Xiao-Yuan Jing, Shi Ying, Feng Wang, 2014, ICSE Companion.

Cost-sensitive transfer kernel canonical correlation analysis for heterogeneous defect prediction

Fei Wu, Zhiqiang Li, Xiao-Yuan Jing, 2017, Automated Software Engineering.

IVKMP: A robust data-driven heterogeneous defect model based on deep representation optimization learning

Kun Zhu, Dandan Zhu, Weiping Ding, 2021, Inf. Sci..

An empirical study of the effectiveness of IR-based bug localization for large-scale industrial projects

Qingan Li, Mengting Yuan, Wei Li, 2022, Empirical Software Engineering.

HSACMA: a hierarchical scalable adaptive cloud monitoring architecture

Shi Ying, Rui Wang, Meiyan Li, 2020, Software Quality Journal.