Wang, Shangwen
National University of Defense Technology
6 papers on CoChatORCID 0000-0003-1469-2063
Most cited papers
- Verified
CCT5: A Code-Change-Oriented Pre-trained Model
Lin, B., Wang, S., Liu, Z., Liu, Y., Xia, X., & Mao, X. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
Software Engineering ResearchTopic Modeling
Cited by 69
- Verified
Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach
Lin, B., Wang, S., Liu, Z., Xia, X., & Mao, X. (2023) · IEEE Transactions on Software Engineering
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 27
- Verified · note
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
Sun, Z., Du, X., Song, F., Wang, S., Ni, M., Li, L., & Lo, D. (2025) · ACM Transactions on Software Engineering and Methodology
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 8
- Verified
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
Sun, Z., Du, X., Song, F., Wang, S., Ni, M., & Li, L. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 8
- Verified
AgentFL: Scaling LLM-based Fault Localization to Project-Level Context
Qin, Y., Wang, S., Lou, Y., Dong, J., Wang, K., Li, X., & Mao, X. (2024) · arXiv
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 8
- Verified · note
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
Sun, Z., Du, X., Song, F., Wang, S., Ni, M., Li, L., & Lo, D. (2022) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 3
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