An observability measure to enhance statement coverage metric for proper evaluation of verification completeness

Simulation based validation approaches are still the primary workhorse for solving the verification problem of getting the initial HDL description correct, especially for large scaled designs. However, most of existing code coverage metrics do not address observability issue (Fallah et al., 2001). T...

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Hauptverfasser: Tai-Ying Jiang, Chien-Nan Jimmy Liu, Jing-Yang Jou
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:Simulation based validation approaches are still the primary workhorse for solving the verification problem of getting the initial HDL description correct, especially for large scaled designs. However, most of existing code coverage metrics do not address observability issue (Fallah et al., 2001). Therefore, we intend to provide additional observability measures to statement coverage metric for more proper and realistic evaluation of verification completeness for a HDL design. As compared to OCCOM (Fallah et al., 1998; Fallah et al., 2001; Devadas et al., 1996), our approach estimates a real probabilistic likelihood of propagating erroneous effects without any unreasonable assumptions and can always provide lower bound estimation.
ISSN:2153-6961
2153-697X
DOI:10.1109/ASPDAC.2005.1466182