A VCD-waveform mining framework that classifies failing RTL simulations into likely faulty modules, compressing data by over 120x and reaching 94% top-3 accuracy on tested open-source designs.
Clustering and classification of uvm test failures using machine learning techniques,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
VCDiag: Classifying Erroneous Waveforms for Failure Triage Acceleration
A VCD-waveform mining framework that classifies failing RTL simulations into likely faulty modules, compressing data by over 120x and reaching 94% top-3 accuracy on tested open-source designs.