Automated Code Feedback
Automated Code Feedback is a computational method that systematically analyzes source code to generate immediate, objective, and actionable assessments of its quality, correctness, or adherence to predefined standards without human intervention.
103
Publications
5.1K
Citations
313
Authors
124
Institutions
Publications per year
2017–2026
58
Variants
Automated Programming Feedback
Parents
103
Learning natural coding conventions
Miltiadis Allamanis, Earl T. Barr, Christian Bird et al. · 2014 · 382 citations · Full text
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124
Microsoft (United States)
Redmond, United States
10 h-index
15 publications
1.1K citations
Virginia Tech
Blacksburg, United States
5 h-index
6 publications
469 citations
North Carolina State University
Raleigh, United States
5 h-index
14 publications
375 citations

University of Auckland
Auckland, New Zealand
3 h-index
9 publications
182 citations
University of Maryland, College Park
College Park, United States
3 h-index
12 publications
1.2K citations
University of California, Davis
Davis, United States
3 h-index
5 publications
232 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
3 h-index
9 publications
855 citations

Universidade Federal de Campina Grande
Campina Grande, Brazil
3 h-index
7 publications
323 citations
1–8 of 124
3 publications · 45 citations
3
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3 publications · 83 citations
3
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2 publications · 378 citations
2
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CAE · 2 publications · 53 citations
2
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Repository · 2 publications · 53 citations
2
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1–5