Hongjing Guo

Empir. Softw. Eng., September, 2024

FATS: Feature Distribution Analysis-Based Test Selection for Deep Learning Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, April, 2024

A reinforcement learning-based approach to testing GUI of moblie applications.

[BibT_eX]

[DOI]

World Wide Web (WWW), March, 2024

2023

Supporting maintenance and testing for AI functions of mobile apps based on user reviews: An empirical study on plant identification apps.

[BibT_eX]

[DOI]

J. Softw. Evol. Process., November, 2023

LCVD: Loop-oriented code vulnerability detection via graph neural network.

[BibT_eX]

[DOI]

Mingke Wang

J. Syst. Softw., August, 2023

DLRegion: Coverage-guided fuzz testing of deep neural networks with region-based neuron selection strategies.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2023

Test Input Selection for Deep Neural Network Enhancement Based on Multiple-Objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Software Analysis, 2023

DeepTD: Diversity-Guided Deep Neural Network Test Generation.

[BibT_eX]

[DOI]

Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2023

Multi-Objective White-Box Test Input Selection for Deep Neural Network Model Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

2022

An Approach to Software Defect Prediction Combining Semantic Features and Code Changes.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2022

Semantic Feature Learning based on Double Sequences Structure for Software Defect Number Prediction.

[BibT_eX]

[DOI]

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

Software Defect Prediction via GCN based on Structural and Context Information.

[BibT_eX]

[DOI]

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

Understanding Security Issues based on App Comment Analysis.

[BibT_eX]

[DOI]

Mengyao Chen

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

A Deep Reinforcement Learning-Based Approach for Android GUI Testing.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

A Review of Quality Assurance Research of Dialogue Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2022

TPFL: Test Input Prioritization for Deep Neural Networks Based on Fault Localization.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021

A Case Study of Testing an Image Recognition.

[BibT_eX]

[DOI]

J. Vis. Lang. Comput., 2021

DeepBackground: Metamorphic testing for Deep-Learning-driven image recognition systems accompanied by Background-Relevance.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2021

A Case Study of Testing an Image Recognition Application (S).

[BibT_eX]

[DOI]

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

MT4ImgRec: A Metamorphic Testing Tool for Image Recognition Software.

[BibT_eX]

[DOI]

Dongyu Cao

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

Recovering Semantic Traceability between Requirements and Source Code Using Feature Representation Techniques.

[BibT_eX]

[DOI]

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

2020

Identifying security issues for mobile applications based on user review summarization.

[BibT_eX]

[DOI]

Inf. Softw. Technol., 2020

Metamorphic Testing for Plant Identification Mobile Applications Based on Test Contexts.

[BibT_eX]

[DOI]