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LUCID: Clearer Software by Integrating Natural Language Analysis into Software Engineering(UCL lead)
Sutton, Charles
(Principal Investigator)
School of Informatics
Data Science and Artificial Intelligence
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
1/04/17
→
30/09/20
Funding
EPSRC:
£383,409.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Programming Language
Computer Science
100%
Learning System
Computer Science
100%
Machine Learning
Computer Science
100%
Software Engineering
Computer Science
50%
Application Area
Computer Science
50%
Research output
Research output per year
2018
2018
2018
1
Article
Research output per year
Research output per year
A Survey of Machine Learning for Big Code and Naturalness
Allamanis, M., Barr, E. T., Devanbu, P. &
Sutton, C.
,
31 Jul 2018
,
In:
ACM Computing Surveys.
51
,
4
,
36 p.
, 81.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Programming Language
100%
Machine Learning
100%
Learning System
100%
Software Engineering
50%
Application Area
50%