Intelligent testbench automation enables design teams to leverage the benefits of common testbench languages while providing a next-generation level of automation that increases functional coverage. This in turn reduces overall testbench programming. This new technology uses algorithms to automate generation of simulation sequences, data, and checks from a concise behavioral description of a design’s specifications.


This paper shows how intelligent testbench automation achieves a higher level of functional coverage at the module, sub-module, and system level and finds more bugs faster than traditional methods. Project teams design with a higher level of confidence, design quality improves in a fraction of the time, and manufacturing re-spins are dramatically reduced.

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