Hongjing Guo

Orcid: 0000-0001-5286-874X

According to our database1, Hongjing Guo authored at least 24 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
FATS: Feature Distribution Analysis-Based Test Selection for Deep Learning Enhancement.
IEEE Trans. Big Data, April, 2024

A reinforcement learning-based approach to testing GUI of moblie applications.
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.
J. Softw. Evol. Process., November, 2023

LCVD: Loop-oriented code vulnerability detection via graph neural network.
J. Syst. Softw., August, 2023

DLRegion: Coverage-guided fuzz testing of deep neural networks with region-based neuron selection strategies.
Inf. Softw. Technol., 2023

Test Input Selection for Deep Neural Network Enhancement Based on Multiple-Objective Optimization.
Proceedings of the IEEE International Conference on Software Analysis, 2023

DeepTD: Diversity-Guided Deep Neural Network Test Generation.
Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2023

Multi-Objective White-Box Test Input Selection for Deep Neural Network Model Enhancement.
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.
Int. J. Softw. Eng. Knowl. Eng., 2022

Semantic Feature Learning based on Double Sequences Structure for Software Defect Number Prediction.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

Software Defect Prediction via GCN based on Structural and Context Information.
Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

Understanding Security Issues based on App Comment Analysis.
Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

A Deep Reinforcement Learning-Based Approach for Android GUI Testing.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

A Review of Quality Assurance Research of Dialogue Systems.
Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2022

TPFL: Test Input Prioritization for Deep Neural Networks Based on Fault Localization.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021
A Case Study of Testing an Image Recognition.
J. Vis. Lang. Comput., 2021

DeepBackground: Metamorphic testing for Deep-Learning-driven image recognition systems accompanied by Background-Relevance.
Inf. Softw. Technol., 2021

A Case Study of Testing an Image Recognition Application (S).
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

MT4ImgRec: A Metamorphic Testing Tool for Image Recognition Software.
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.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2020
Identifying security issues for mobile applications based on user review summarization.
Inf. Softw. Technol., 2020

Metamorphic Testing for Plant Identification Mobile Applications Based on Test Contexts.
Proceedings of the Mobile Computing, Applications, and Services, 2020

2018
MULAPI: Improving API method recommendation with API usage location.
J. Syst. Softw., 2018

Recognizing software bug-specific named entity in software bug repository.
Proceedings of the 26th Conference on Program Comprehension, 2018


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