Shihai Wang

Orcid: 0000-0002-0241-0009

According to our database1, Shihai Wang authored at least 35 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimal Release Policy for Software with Epistemic Uncertainty.
J. Uncertain Syst., September, 2024

Joint Instance and Feature Adaptation for Heterogeneous Defect Prediction.
IEEE Trans. Reliab., March, 2024

A novel software defect prediction approach via weighted classification based on association rule mining.
Eng. Appl. Artif. Intell., 2024

2023
ARRAY: Adaptive triple feature-weighted transfer Naive Bayes for cross-project defect prediction.
J. Syst. Softw., August, 2023

2022
WIFLF: An approach independent of the target project for cross-project defect prediction.
J. Softw. Evol. Process., 2022

SHSE: A subspace hybrid sampling ensemble method for software defect number prediction.
Inf. Softw. Technol., 2022

A Software Multi-Fault Clustering Ensemble Technology.
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.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

TSDTest: A Efficient Coverage Guided Two-Stage Testing for Deep Learning Systems.
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.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

A Software Multi-fault Locating Technique based on Space Shrinkage.
Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

2021
Kernel Spectral Embedding Transfer Ensemble for Heterogeneous Defect Prediction.
IEEE Trans. Software Eng., 2021

A Test Restoration Method based on Genetic Algorithm for effective fault localization in multiple-fault programs.
J. Syst. Softw., 2021

Efilter: An effective fault localization based on information entropy with unlabelled test cases.
Inf. Softw. Technol., 2021

2020
Software defect prediction based on correlation weighted class association rule mining.
Knowl. Based Syst., 2020

KBAA: An adversarial example generation method for KBQA task.
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.
Dataset, January, 2019

Transfer-Learning Oriented Class Imbalance Learning for Cross-Project Defect Prediction.
CoRR, 2019

An Analysis on the Negative Effect of Multiple-Faults for Spectrum-Based Fault Localization.
IEEE Access, 2019

2018
Feedback-based integrated prediction: Defect prediction based on feedback from software testing process.
J. Syst. Softw., 2018

Software defect prediction using stacked denoising autoencoders and two-stage ensemble learning.
Inf. Softw. Technol., 2018

A novel software defect prediction based on atomic class-association rule mining.
Expert Syst. Appl., 2018

A Novel Model-Based Dynamic Analysis Method for State Correlation With IMA Fault Recovery.
IEEE Access, 2018

2016
A survey of avionics analysis and simulation based on AADL model.
Int. J. Inf. Commun. Technol., 2016

Approach for integrated modular avionics reconfiguration modelling and reliability analysis based on AADL.
IET Softw., 2016

2015
The impact of software process consistency on residual defects.
J. Softw. Evol. Process., 2015

2014
An Empirical Study for Software Fault-Proneness Prediction with Ensemble Learning Models on Imbalanced Data Sets.
J. Softw., 2014

Reliability Evaluation based on the AADL Architecture Model.
J. Networks, 2014

A new transfer learning Boosting approach based on distribution measure with an application on facial expression recognition.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012
A Robust Boosting by using an Adaptive Weight Scheme.
Cybern. Syst., 2012

2011
Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

An improvment of weight scheme on adaBoost in the presence of noisy data.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010
HASM-AD algorithm based on the sequential least squares.
Geo spatial Inf. Sci., 2010

2007
Regularized Boost for Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Ensemble Learning with Active Data Selection for Semi-Supervised Pattern Classification.
Proceedings of the International Joint Conference on Neural Networks, 2007


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