416 citations · 679 across the 9 of their papers we have counts for
15 papers
Exploring and Evaluating Personalized Models for Code Generation
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy +3
Large Transformer models achieved the state-of-the-art status for Natural Language Understanding tasks and are increasingly becoming the baseline model architecture for modeling so…
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…
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Colin B. Clement, Shuai Lu, Xiaoyu Liu +5
Statistical language modeling and translation with transformers have found many successful applications in program understanding and generation tasks, setting high benchmarks for t…
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…
Towards Automating Code Review Activities
Rosalia Tufano, Luca Pascarella, Michele Tufano +2
Code reviews are popular in both industrial and open source projects. The benefits of code reviews are widely recognized and include better code quality and lower likelihood of int…
On Learning Meaningful Assert Statements for Unit Test Cases
Cody Watson, Michele Tufano, Kevin Moran +2
Software testing is an essential part of the software lifecycle and requires a substantial amount of time and effort. It has been estimated that software developers spend close to…