Zhang, Lingming

Demystifying LLM-Based Software Engineering Agents

Xia, C. S., Deng, Y., Dunn, S., & Zhang, L. (2025) · Proceedings of the ACM on Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 849

DeepRoad: GAN-based metamorphic testing and input validation framework for autonomous driving systems

Zhang, M., Zhang, Y., Zhang, L., Liu, C., & Khurshid, S. (2018) · Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering

Software Testing and Debugging TechniquesAdversarial Robustness in Machine Learning

Cited by 611

Automated Program Repair in the Era of Large Pre-trained Language Models

Xia, C. S., Wei, Y., & Zhang, L. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 433

DeepFL: integrating multiple fault diagnosis dimensions for deep fault localization

Li, X., Li, W., Zhang, Y., & Zhang, L. (2019) · Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 336

Less training, more repairing please: revisiting automated program repair via zero-shot learning

Xia, C. S., & Zhang, L. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 231

Fuzz4ALL: Universal Fuzzing with Large Language Models

Xia, C. S., Paltenghi, M., Le Tian, J., Pradel, M., & Zhang, L. (2024) · Proceedings of the IEEE/ACM 46th International Conference on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 229

Boosting coverage-based fault localization via graph-based representation learning

Lou, Y., Zhu, Q., Dong, J., Li, X., Sun, Z., Hao, D., Zhang, L., & Zhang, L. (2021) · Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 163

An extensive study on pre-trained models for program understanding and generation

Zeng, Z., Tan, H., Zhang, H., Li, J., Zhang, Y., & Zhang, L. (2022) · Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis

Software Engineering ResearchTopic Modeling

Cited by 153

Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair

Wei, Y., Xia, C. S., & Zhang, L. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 115

Free lunch for testing: fuzzing deep-learning libraries from open source

Wei, A., Deng, Y., Yang, C., & Zhang, L. (2022) · Proceedings of the 44th International Conference on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 106

Fuzzing deep-learning libraries via automated relational API inference

Deng, Y., Yang, C., Wei, A., & Zhang, L. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 86

The Plastic Surgery Hypothesis in the Era of Large Language Models

Xia, C. S., Ding, Y., & Zhang, L. (2023) · 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 67

Large Language Model-Based Agents for Software Engineering: A Survey

Liu, J., Wang, K., Chen, Y., Peng, X., Chen, Z., Zhang, L., & Lou, Y. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 49

Magicoder: Empowering Code Generation with OSS-Instruct

Wei, Y., Wang, Z., Liu, J., Ding, Y., & Zhang, L. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 27

Agentless: Demystifying LLM-based Software Engineering Agents

Xia, C. S., Deng, Y., Dunn, S., & Zhang, L. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 24

Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly?

Xia, C. S., Wang, Z., Yang, Y., Wei, Y., & Zhang, L. (2025) · arXiv

Software Engineering ResearchEvolutionary Algorithms and Applications

Cited by 2

SEC-bench: Automated Benchmarking of LLM Agents on Real-World Software Security Tasks

Lee, H., Zhang, Z., Lu, H., & Zhang, L. (2025) · arXiv

Web Application Security VulnerabilitiesSoftware Engineering Research

Cited by 2

CWM: An Open-Weights LLM for Research on Code Generation with World Models

FAIR CodeGen team, Copet, J., Carbonneaux, Q., Cohen, G., Gehring, J., Kahn, J., Kossen, J., Kreuk, F., McMilin, E., Meyer, M., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0