Bin Liu

Orcid: 0009-0007-1991-360X

Affiliations:
  • Beihang University, School of Reliability and Systems Engineering, Beijing, China


According to our database1, Bin Liu authored at least 29 papers between 2009 and 2024.

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Bibliography

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

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 Fault Localization Method Based on Similarity Weighting with Unlabeled Test Cases.
Proceedings of the 22nd IEEE International Conference on Software Quality, 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
Adaptive Testing Based on Moment Estimation.
IEEE Trans. Syst. Man Cybern. Syst., 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
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

Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self-Learning.
Complex., 2018

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

2017
The Failure Behaviors of Multi-Faults Programs: An Empirical Study.
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

How Domain Knowledge Accumulation Influences Software Defects: An Empirical Analysis.
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

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

A Novel Automated GUI Testing Echnology Based on Image Recognition.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

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

2014
The links between human error diversity and software diversity: Implications for fault diversity seeking.
Sci. Comput. Program., 2014

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

2010
The Integrated Application Based on Real-time Extended UML and Improved Formal Method in Real-time Embedded Software Testing.
J. Networks, 2010

Research on Formal Verification Technique for Aircraft Safety-Critical Software.
J. Comput., 2010

2009
On Test Script Technique Oriented Automation of Embedded Software Simulation Testing.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009


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