Shihai Wang

According to our database, Shihai Wang authored at least 39 papers between 2007 and 2024.

Collaborative distances:

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

2024

Optimal Release Policy for Software with Epistemic Uncertainty.

Zhe Liu, Shihai Wang, Bin Liu, Rui Kang

J. Uncertain Syst., September, 2024

Joint Instance and Feature Adaptation for Heterogeneous Defect Prediction.

Yujie Ren, Bin Liu, Shihai Wang

IEEE Trans. Reliab., March, 2024

A novel software defect prediction approach via weighted classification based on association rule mining.

Wentao Wu, Shihai Wang, Bin Liu, Yuanxun Shao, Wandong Xie

Eng. Appl. Artif. Intell., 2024

Software fault localization based on eigenvector centrality in complex network theory.

Wentao Wu, Shihai Wang, Yuanxun Shao, Wandong Xie

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

A Novel Approach for Software Defect Prediction Through Relational Association Rules Based on Cost-Sensitive Learning.

Meng Tian, Shihai Wang, Wentao Wu, Wandong Xie

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

Generating Adversarial Samples Based on the Attack Robust Training Model.

Tengfei Shi, Shihai Wang, Haoran Li, Shudi Guo, Yu Liu

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

StasogFL: A Fault Localization Method Based on Statement Association Graph.

Yingxian Guo, Shihai Wang, Dong An, Yu Luo

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

2023

ARRAY: Adaptive triple feature-weighted transfer Naive Bayes for cross-project defect prediction.

Haonan Tong, Wei Lu, Weiwei Xing, Shihai Wang

J. Syst. Softw., August, 2023

2022

WIFLF: An approach independent of the target project for cross-project defect prediction.

Can Cui, Bin Liu, Shihai Wang

J. Softw. Evol. Process., 2022

SHSE: A subspace hybrid sampling ensemble method for software defect number prediction.

Haonan Tong, Wei Lu, Weiwei Xing, Bin Liu, Shihai Wang

Inf. Softw. Technol., 2022

A Software Multi-Fault Clustering Ensemble Technology.

Mingxing Zhang, Shihai Wang, Wentao Wu, Weiguo Qiu, Wandong Xie

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

A Software Defect Prediction Classifier based on Three Minimum Support Threshold Association Rule Mining.

Wentao Wu, Shihai Wang, Yuanxun Shao, Mingxing Zhang, Wandong Xie

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

TSDTest: A Efficient Coverage Guided Two-Stage Testing for Deep Learning Systems.

Haoran Li, Shihai Wang, Tengfei Shi, Xinyue Fang, Jian Chen

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Prefilter: A Fault Localization Method using Unlabelled Test Cases based on K-Means Clustering and Similarity.

Dong An, Shihai Wang, Liandie Zhu, Xunli Yang, Xiaobo Yan

Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

A Software Multi-fault Locating Technique based on Space Shrinkage.

Mingxing Zhang, Shihai Wang, Weiguo Qiu

Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

2021

Kernel Spectral Embedding Transfer Ensemble for Heterogeneous Defect Prediction.

Haonan Tong, Bin Liu, Shihai Wang

IEEE Trans. Software Eng., 2021

A Test Restoration Method based on Genetic Algorithm for effective fault localization in multiple-fault programs.

Xiaobo Yan, Bin Liu, Shihai Wang

J. Syst. Softw., 2021

Efilter: An effective fault localization based on information entropy with unlabelled test cases.

Xiaobo Yan, Bin Liu, Shihai Wang, Dong An, Feng Zhu, Yelin Yang

Inf. Softw. Technol., 2021

2020

Software defect prediction based on correlation weighted class association rule mining.

Yuanxun Shao, Bin Liu, Shihai Wang, Guoqi Li

Knowl. Based Syst., 2020

KBAA: An adversarial example generation method for KBQA task.

Shudi Guo, Shihai Wang, Bin Liu, Tengfei Shi

Proceedings of the 7th International Conference on Dependable Systems and Their Applications, 2020

2019

Datasets for Kernel Spectral Embedding Transfer Ensemble for Heterogeneous Defect Prediction.

Shihai Wang

Dataset, January, 2019

Transfer-Learning Oriented Class Imbalance Learning for Cross-Project Defect Prediction.

Haonan Tong, Bin Liu, Shihai Wang, Qiuying Li

CoRR, 2019

An Analysis on the Negative Effect of Multiple-Faults for Spectrum-Based Fault Localization.

Xiaobo Yan, Bin Liu, Shihai Wang

IEEE Access, 2019

2018

Feedback-based integrated prediction: Defect prediction based on feedback from software testing process.

Peng Xiao, Bin Liu, Shihai Wang

J. Syst. Softw., 2018

Software defect prediction using stacked denoising autoencoders and two-stage ensemble learning.

Haonan Tong, Bin Liu, Shihai Wang

Inf. Softw. Technol., 2018

A novel software defect prediction based on atomic class-association rule mining.

Yuanxun Shao, Bin Liu, Shihai Wang, Guoqi Li

Expert Syst. Appl., 2018

A Novel Model-Based Dynamic Analysis Method for State Correlation With IMA Fault Recovery.

Rongbin Han, Shihai Wang, Bin Liu, Tingdi Zhao, Zhiao Ye

IEEE Access, 2018

2016

A survey of avionics analysis and simulation based on AADL model.

Xiaoxu Diao, Bin Liu, Shihai Wang

Int. J. Inf. Commun. Technol., 2016

Approach for integrated modular avionics reconfiguration modelling and reliability analysis based on AADL.

Quan Zhang, Shihai Wang, Bin Liu

IET Softw., 2016

2015

The impact of software process consistency on residual defects.

Fuqun Huang, Bin Liu, Shihai Wang, Qiuying Li

J. Softw. Evol. Process., 2015

2014

An Empirical Study for Software Fault-Proneness Prediction with Ensemble Learning Models on Imbalanced Data Sets.

Renqing Li, Shihai Wang

J. Softw., 2014

Reliability Evaluation based on the AADL Architecture Model.

Dongyi Ling, Shihai Wang, Bin Liu, Xiaoqi Xing

J. Networks, 2014

A new transfer learning Boosting approach based on distribution measure with an application on facial expression recognition.

Shihai Wang, Zelin Li

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012

A Robust Boosting by using an Adaptive Weight Scheme.

Shihai Wang, Shin-Jye Lee

Cybern. Syst., 2012

2011

Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions.

Ke Chen, Shihai Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2011

An improvment of weight scheme on adaBoost in the presence of noisy data.

Shihai Wang, Geng Li

Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010

HASM-AD algorithm based on the sequential least squares.

Shihai Wang, Tianxiang Yue

Geo spatial Inf. Sci., 2010

2007

Regularized Boost for Semi-Supervised Learning.

Ke Chen, Shihai Wang

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification.

Shihai Wang, Ke Chen

Proceedings of the International Joint Conference on Neural Networks, 2007