Hongyan Wan

Orcid: 0000-0002-4108-789X

According to our database1, Hongyan Wan authored at least 21 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Enhancing requirements-to-code traceability with GA-XWCoDe: Integrating XGBoost, Node2Vec, and genetic algorithms for improving model performance and stability.
J. King Saud Univ. Comput. Inf. Sci., 2024

An empirical study on the state-of-the-art methods for requirement-to-code traceability link recovery.
J. King Saud Univ. Comput. Inf. Sci., 2024

MLTracer: An Approach Based on Multi-Layered Gradient Boosting Decision Trees for Requirements Traceability Recovery.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
A Systematic Mapping Study of Machine Learning Techniques Applied to Software Traceability.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

DF4RT: Deep Forest for Requirements Traceability Recovery Between Use Cases and Source Code.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Applications of Machine Learning in Requirements Traceability: A Systematic Mapping Study (S).
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

A Novel Framework for High-category Coverage Clothing Recommendation System Based on Sentiment Analysis.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

An Empirical Study on Data Balancing in Machine Learning Based Software Traceability Methods.
Proceedings of the International Joint Conference on Neural Networks, 2023

Sentiment Analysis for Requirements Elicitation from App Reviews: A Systematic Mapping Study.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022
IRRT: An Automated Software Requirements Traceability Tool based on Information Retrieval Model.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

An Empirical Study on Software Requirements Classification Method based on Mobile App User Comments.
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022

2021
A novel webpage layout aesthetic evaluation model for quantifying webpage layout design.
Inf. Sci., 2021

2019
Software Defect Prediction Based on Cost-Sensitive Dictionary Learning.
Int. J. Softw. Eng. Knowl. Eng., 2019

Exposure Fusion for Dynamic Scenes Combining Retinex Theory and Low-Rank Matrix Completion.
IEEE Access, 2019

2018
Query expansion based on statistical learning from code changes.
Softw. Pract. Exp., 2018

2017
Query Expansion via Intent Predicting.
Int. J. Softw. Eng. Knowl. Eng., 2017

Model Construction and Data Management of Running Log in Supporting SaaS Software Performance Analysis.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Software Defect Prediction Using Dictionary Learning.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

SnippetGen: Enhancing the Code Search via Intent Predicting.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

2016
Exploiting Correlation Subspace to Predict Heterogeneous Cross-Project Defects.
Int. J. Softw. Eng. Knowl. Eng., 2016

Heterogeneous Defect Prediction via Exploiting Correlation Subspace.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016


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