Clement, Colin

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

On the Use of ArXiv as a Dataset

Clement, C. B., Bierbaum, M., O'Keeffe, K. P., & Alemi, A. A. (2019) · arXiv

Topic Modelingscientometrics and bibliometrics research

Cited by 53

DeepDev-PERF: a deep learning-based approach for improving software performance

Garg, S., Moghaddam, R. Z., Clement, C. B., Sundaresan, N., & Wu, C. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Engineering ResearchSoftware System Performance and Reliability

Cited by 24

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