Programming is a powerful and ubiquitous problem-solving tool. Systems that can assist
programmers or even generate programs themselves could make programming more …

Neural code synthesis has reached a point where snippet generation is accurate enough to
be considered for integration into human software development workflows. Commercial …

Code completion is an essential feature of IDEs, yet current auto-completers are restricted to
either grammar-based or NLP-based single token completions. Both approaches have …

Code prediction, more specifically autocomplete, has become an essential feature in
modern IDEs. Autocomplete is more effective when the desired next token is at (or close to) …

Code review is an essential activity for ensuring the quality and maintainability of software
projects. However, it is a time-consuming and often error-prone task that can significantly …

Code completion aims at speeding up code writing by predicting the next code token (s) the
developer is likely to write. Works in this field focused on improving the accuracy of the …

Measuring GitHub Copilot's Impact on Productivity Page 1 CODE-COMPLETION SYSTEMS
OFFERING suggestions to a developer in their integrated development environment (IDE) …

Machine learning (ML) models play an increasingly prevalent role in many software
engineering tasks. However, because most models are now powered by opaque deep …

Code completion is one of the most widely used features of modern integrated development
environments (IDEs). While deep learning has made significant progress in the statistical …

Code generation aims to automatically generate source code from high-level task
specifications, which can significantly increase productivity of software engineering …