Repair Suggestions
Repair Suggestions is a methodological contribution within the field of error recovery that specifically comprises techniques or strategies designed to generate actionable alternatives for rectifying syntactic, semantic, or structural anomalies in computational systems, thereby distinguishing it from general error detection or diagnostic approaches.
13
Publications
494
Citations
35
Authors
16
Institutions
Publications per year
2017–2026
6
Parents
13
ReAssert: Suggesting Repairs for Broken Unit Tests
Brett Daniel, Vilas Jagannath, Danny Dig et al. · 2009 · 107 citations
MintHint: automated synthesis of repair hints
Shalini Kaleeswaran, Varun Tulsian, Aditya Kanade et al. · 2014 · 85 citations
Computing, Computer Science, Natural Language Processing +12
Symbolic Repairs for GR(1) Specifications
Shahar Maoz, Jan Oliver Ringert, Rafi Shalom · 2019 · 47 citations · Full text
1–5 of 13
35
4
h-index
4
h-index
3
h-index
3
h-index
2
h-index
1–5 of 35
16
Duke University
Durham, United States
4 h-index
7 publications
219 citations
Huawei Technologies (United States)
Plano, United States
4 h-index
9 publications
271 citations
Universidade Federal do Rio Grande do Norte
Natal, Brazil
2 h-index
2 publications
36 citations
Pontifícia Universidade Católica do Rio de Janeiro
Rio de Janeiro, Brazil
2 h-index
2 publications
36 citations
Qualcomm (United States)
San Diego, United States
2 h-index
2 publications
63 citations

University of Leicester
Leicester, United Kingdom
1 h-index
1 publications
47 citations
Humboldt-Universität zu Berlin
Berlin, Germany
1 h-index
2 publications
62 citations

Indian Institute of Science Bangalore
Bengaluru, India
1 h-index
3 publications
255 citations
1–8 of 16
2 publications · 63 citations
2
h-index
TSE · 2 publications · 53 citations
2
h-index
TOSEM · 1 publications · 31 citations
1
h-index
1 publications · 10 citations
Conference · 1 publications · 10 citations
1–5