Kang Yang
Orcid: 0000-0002-5863-1003Affiliations:
- East China University of Science and Technology, Department of Computer Science and Engineering, Shanghai, China (PhD 2022)
According to our database1,
Kang Yang
authored at least 19 papers
between 2019 and 2025.
Collaborative distances:
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Bibliography
2025
A reinforcement learning malware detection model based on heterogeneous information network path representation.
Appl. Intell., April, 2025
Towards Early Warning and Migration of High-Risk Dormant Open-Source Software Dependencies.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, ICSE 2025 - NIER, Ottawa, ON, Canada, April 27, 2025
2024
J. Softw. Evol. Process., June, 2024
2023
IEEE Trans. Software Eng., April, 2023
2022
A graph sequence neural architecture for code completion with semantic structure features.
J. Softw. Evol. Process., 2022
HBSniff: A static analysis tool for Java Hibernate object-relational mapping code smell detection.
Sci. Comput. Program., 2022
Community Smell Occurrence Prediction on Multi-Granularity by Developer-Oriented Features and Process Metrics.
J. Comput. Sci. Technol., 2022
Int. J. Softw. Eng. Knowl. Eng., 2022
Autom. Softw. Eng., 2022
Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022
2021
DEJIT: A Differential Evolution Algorithm for Effort-Aware Just-in-Time Software Defect Prediction.
Int. J. Softw. Eng. Knowl. Eng., 2021
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021
An Empirical Study of Model-Agnostic Interpretation Technique for Just-in-Time Software Defect Prediction.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021
2020
Comput. Sci. Inf. Syst., 2020
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020
2019
Sci. Program., 2019
An Empirical Studies on Optimal Solutions Selection Strategies for Effort-Aware Just-in-Time Software Defect Prediction.
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019
An Empirical Study on Progressive Sampling for Just-in-Time Software Defect Prediction.
Proceedings of the 7th International Workshop on Quantitative Approaches to Software Quality co-located with 26th Asia-Pacific Software Engineering Conference (APSEC 2019), 2019
Deep Semantic Feature Learning with Embedded Static Metrics for Software Defect Prediction.
Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019