20 citations · 23 across the 2 of their papers we have counts for
3 papers
cs.SE2021
Improving Code Autocompletion with Transfer Learning
Wen Zhou, Seohyun Kim, Vijayaraghavan Murali +1
Software language models have achieved promising results predicting code completion usages, and several industry studies have described successful IDE integrations. Recently, accur…
cs.SE2020★ 3 cited
Learning Autocompletion from Real-World Datasets
Gareth Ari Aye, Seohyun Kim, Hongyu Li
Code completion is a popular software development tool integrated into all major IDEs. Many neural language models have achieved promising results in completion suggestion predicti…
cs.SE2020★ 20 cited
Sequence Model Design for Code Completion in the Modern IDE
Gareth Ari Aye, Gail E. Kaiser
Code completion plays a prominent role in modern integrated development environments (IDEs). Machine learning has become ubiquitous in analogous natural language writing and search…