MSR 2020
Mon 29 - Tue 30 June 2020
co-located with ICSE 2020
Charles Sutton

Registered user since Sun 12 Jun 2016

Name: Charles Sutton

Bio: Charles Sutton is a Research Scientist at Google Research. He is interested in a broad range of applications of machine learning, including NLP, analysis of computer systems, software engineering, and program synthesis. His work in software engineering has won an ACM Distinguished Paper Award. His PhD is from the University of Massachusetts Amherst, and he has done postdoctoral work at the University of California Berkeley. He also holds academic appointments at the University of Edinburgh and the Alan Turing Institute.

Country: United States

Affiliation: Google Research

Personal website: http://homepages.inf.ed.ac.uk/csutton/

Research interests: Machine learning, software engineering, programming languages

Contributions

MSR 2020Author of How Often Do Single-Statement Bugs Occur? The ManySStuBs4J Dataset within the Data Showcase-track
ICSE 2020Author of Big Code != Big Vocabulary: Open-Vocabulary Models for Source code within the Technical Papers-track
Author of Open-Vocabulary Models for Source Code (Extended Abstract) within the ICSE 2020 Posters-track
Author of Where should I comment my code? A dataset and model for predicting locations that need comments within the New Ideas and Emerging Results-track
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