Tufano, Michele

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Lu, S., Guo, D., Ren, S., Huang, J., Svyatkovskiy, A., Blanco, A., Clement, C., Drain, D., Jiang, D., Tang, D., et al. (2021) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 536

GraphCodeBERT: Pre-training Code Representations with Data Flow

Guo, D., Ren, S., Lu, S., Feng, Z., Tang, D., Liu, S., Zhou, L., Duan, N., Svyatkovskiy, A., Fu, S., et al. (2020) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 480

An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation

Tufano, M., Watson, C., Bavota, G., Penta, M. D., White, M., & Poshyvanyk, D. (2019) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 370

InferFix: End-to-End Program Repair with LLMs

Jin, M., Shahriar, S., Tufano, M., Shi, X., Lu, S., Sundaresan, N., & Svyatkovskiy, A. (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 191

Deep learning similarities from different representations of source code

Tufano, M., Watson, C., Bavota, G., Di Penta, M., White, M., & Poshyvanyk, D. (2018) · Proceedings of the 15th International Conference on Mining Software Repositories

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 158

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

Clement, C., Lu, S., Liu, X., Tufano, M., Drain, D., Duan, N., Sundaresan, N., & Svyatkovskiy, A. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Software Engineering ResearchTopic Modeling

Cited by 12