Coverage Closure
Coverage Closure is a verification metric in the context of testbenches that quantifies the extent to which the intended design behaviors and requirements have been exercised by the test stimuli, distinguishing itself from other verification measures by its focus on achieving comprehensive functional and structural coverage to ensure design correctness.
6
Publications
158
Citations
20
Authors
10
Institutions
Publications per year
2017–2026
3
Parents
6
Testing and reopening in an SEIR model
David Berger, Kyle Herkenhoff, Chengdai Huang et al. · Review of Economic Dynamics · 2020 · 74 citations
1–5 of 6
20
2
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 20
10
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
7 publications
124 citations

University of Minnesota
Minneapolis, United States
2 h-index
2 publications
94 citations
Nvidia (United States)
Santa Clara, United States
1 h-index
1 publications
20 citations
University of Bremen
Bremen, Germany
1 h-index
2 publications
20 citations
Federal Reserve Bank of Minneapolis
Minneapolis, United States
1 h-index
1 publications
74 citations
Infineon Technologies (Canada)
Ottawa, Canada
1 h-index
4 publications
64 citations

University of Bristol
Bristol, United Kingdom
1 h-index
2 publications
44 citations
University of Chicago
Chicago, United States
1 h-index
2 publications
148 citations
1–8 of 10
HLDVT · 1 publications · 22 citations
1
h-index
1 publications · 20 citations
1
h-index
1 publications · 74 citations
1
h-index
1–3