Ye Shang

Orcid: 0009-0000-8699-8075

According to our database1, Ye Shang authored at least 13 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Red Skills or Blue Skills? A Dive Into Skills Published on ClawHub.
CoRR, April, 2026

SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair.
CoRR, February, 2026

CL4SE: A Context Learning Benchmark For Software Engineering Tasks.
CoRR, February, 2026

ATTest: Agent-Driven Tensor Testing for Deep Learning Library Modules.
CoRR, February, 2026

ComPass: Contrastive Learning for Automated Patch Correctness Assessment in Program Repair.
CoRR, February, 2026

2025
Large Language Models for Unit Testing: A Systematic Literature Review.
CoRR, June, 2025

Bandwidth Expansion for Mode-Matched MEMS Gyroscopes Without Any Compensator.
IEEE Trans. Instrum. Meas., 2025

A Large-Scale Empirical Study on Fine-Tuning Large Language Models for Unit Testing.
Proc. ACM Softw. Eng., 2025

Static code analyzer recommendation via preference mining.
Expert Syst. Appl., 2025

An Empirical Study on Machine Learning-Based Risk Prediction for Petroleum Pipelines.
Proceedings of the 25th International Conference on Software Quality, 2025

Can GPT-O1 Kill All Bugs? An Evaluation of GPT-Family LLMs on QuixBugs.
Proceedings of the IEEE/ACM International Workshop on Automated Program Repair, 2025

2024
TestBench: Evaluating Class-Level Test Case Generation Capability of Large Language Models.
CoRR, 2024

No Man is an Island: Towards Fully Automatic Programming by Code Search, Code Generation and Program Repair.
CoRR, 2024


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