Constraint-based Verification
Constraint-Based Verification is a functional verification methodology that employs constrained-random stimulus generation, where a test generator produces input sequences according to user-defined constraints to systematically explore legal behaviors of a design under test while ensuring coverage of corner-case scenarios.
71
Publications
2.3K
Citations
159
Authors
69
Institutions
Publications per year
2017–2026
9
Variants
Constrained-random Verification
Parents
71
Constraint-Based Random Stimuli Generation for Hardware Verification
Y. Naveh, Michal Rimon, Itai Jaeger et al. · AI Magazine · 2007 · 85 citations
1–5 of 71
159
5
h-index
4
h-index
3
h-index
3
h-index
3
h-index
1–5 of 159
69
The University of Texas at Austin
Austin, United States
7 h-index
7 publications
220 citations
Motorola (United States)
Schaumburg, United States
6 h-index
10 publications
380 citations
Synopsys (United States)
Mountain View, United States
6 h-index
6 publications
188 citations
IBM (United States)
Armonk, United States
4 h-index
14 publications
879 citations
Cadence Design Systems (United States)
San Jose, United States
4 h-index
6 publications
232 citations
University of California, Berkeley
Berkeley, United States
3 h-index
6 publications
294 citations
University of Bremen
Bremen, Germany
3 h-index
7 publications
149 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
219 citations
1–8 of 69
2 publications · 97 citations
2
h-index
ICCAD · 2 publications · 103 citations
2
h-index
1 publications · 22 citations
1
h-index
Conference · 1 publications · 14 citations
1
h-index
SoSyM · 1 publications · 13 citations
1
h-index
1–5