Shan Gao

Orcid: 0009-0006-2695-2968

Affiliations:
  • Huawei, Hangzhou, China


According to our database1, Shan Gao authored at least 12 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

Online presence:

On csauthors.net:

Bibliography

2026
Understanding the Potentially Confounding Effect of Test Suite Size in Test Effectiveness Evaluation.
ACM Trans. Softw. Eng. Methodol., May, 2026

2025
WITNESS: A lightweight and practical approach to fine-grained predictive mutation testing.
CoRR, November, 2025

Clean Code, Better Models: Enhancing LLM Performance with Smell-Cleaned Dataset.
CoRR, August, 2025

The Current Challenges of Software Engineering in the Era of Large Language Models.
ACM Trans. Softw. Eng. Methodol., June, 2025

Correction to: A preliminary investigation on using multi-task learning to predict change performance in code reviews.
Empir. Softw. Eng., June, 2025

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation.
CoRR, January, 2025

Less Is More: On the Importance of Data Quality for Unit Test Generation.
Proc. ACM Softw. Eng., 2025

Multi-view Leaderboard: Towards Evaluating the Code Intelligence of LLMs From Multiple Views.
Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

2024
A preliminary investigation on using multi-task learning to predict change performance in code reviews.
Empir. Softw. Eng., November, 2024

A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Mining Pull Requests to Detect Process Anomalies in Open Source Software Development.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024


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