416 citations · 624 across the 4 of their papers we have counts for
5 papers
Methods2Test: A dataset of focal methods mapped to test cases
Michele Tufano, Shao Kun Deng, Neel Sundaresan +1
Unit testing is an essential part of the software development process, which helps to identify issues with source code in early stages of development and prevent regressions. Machi…
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu, Daya Guo, Shuo Ren +19
Benchmark datasets have a significant impact on accelerating research in programming language tasks. In this paper, we introduce CodeXGLUE, a benchmark dataset to foster machine le…
GraphCodeBERT: Pre-training Code Representations with Data Flow
Daya Guo, Shuo Ren, Shuai Lu +15
Pre-trained models for programming language have achieved dramatic empirical improvements on a variety of code-related tasks such as code search, code completion, code summarizatio…
Unit Test Case Generation with Transformers and Focal Context
Michele Tufano, Dawn Drain, Alexey Svyatkovskiy +2
Automated unit test case generation tools facilitate test-driven development and support developers by suggesting tests intended to identify flaws in their code. Existing approache…
IntelliCode Compose: Code Generation Using Transformer
Alexey Svyatkovskiy, Shao Kun Deng, Shengyu Fu +1
In software development through integrated development environments (IDEs), code completion is one of the most widely used features. Nevertheless, majority of integrated developmen…