He, Junda

LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision and the Road Ahead

He, J., Treude, C., & Lo, D. (2024) · arXiv

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 246

LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead

He, J., Treude, C., & Lo, D. (2025) · ACM Transactions on Software Engineering and Methodology

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 246

Natural Attack for Pre-trained Models of Code

Yang, Z., Shi, J., He, J., & Lo, D. (2022) · Proceedings of the 44th International Conference on Software Engineering

Adversarial Robustness in Machine LearningSoftware Engineering Research

Cited by 166

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Zhuo, T. Y., Vu, M. C., Chim, J., Hu, H., Yu, W., Widyasari, R., Yusuf, I. N. B., Zhan, H., He, J., Paul, I., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 29

LLM-as-a-Judge for Software Engineering: Literature Review, Vision, and the Road Ahead

He, J., Shi, J., Zhuo, T. Y., Treude, C., Sun, J., Du, X., Xing, Z., & Lo, D. (2026) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 12

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks

Zhou, X., Weyssow, M., Widyasari, R., Zhang, T., He, J., Lyu, Y., Chang, J., Zhang, B., Huang, D., & Lo, D. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 3