Abstract: A method for controlling the functional output of a verification tool upon receipt of a circuit description comprises searching for a predetermined base pattern in the circuit description. The method further comprises searching for predetermined sub-patterns that are assigned to the base pattern, in the circuit description. The method further comprises the validation of each found sub-pattern based on a predetermined rule to minimize the set of reported errors that based on verification of the circuit description.

Abstract: A method for functional verification of a circuit description comprises generating a first set of crossover paths based on the circuit description, generating a low power information based on a power design description associated with the circuit description, the low power information determining a set of power state combinations, and generating a second set of crossover paths based on the first set of crossover paths and the low power information, the second set of crossover paths being a subset of the first set of crossover paths. Each of the second set of crossover paths is evaluated to identify circuit description errors, in particular functional circuit description errors.

Abstract: A method for controlling the functional output of a verification tool upon receipt of a circuit description comprises searching for a predetermined base pattern in the circuit description. The method further comprises searching for predetermined sub-patterns that are assigned to the base pattern, in the circuit description. The method further comprises the validation of each found sub-pattern based on a predetermined rule to minimize the set of reported errors that based on verification of the circuit description.

Abstract: Verification-result ranking techniques for root cause analysis are disclosed using violation report analysis and violation weighting. Violation reports are unwieldy and result from a variety of design and process checks. The check coverage can overlap, causing a specific violation to trigger multiple reported violations. High turn around times for violation report analysis increase the risk that selective violation analysis will inadvertently suppress real design bugs. This reduces the odds that static checker reports alone will meet design sign-off criteria. Determining relationships among a plurality of violations for a design permits clustering violations into hot spots. Identification of primary and subsequent contributors to the plurality of violations is based on the relationships among violations. The hot spot with the highest weight is identified, and then subsequent violations are identified to maximize violation coverage.

Abstract: A method for functional verification of a circuit description comprises generating a first set of crossover paths based on the circuit description, generating a low power information based on a power design description associated with the circuit description, the low power information determining a set of power state combinations, and generating a second set of crossover paths based on the first set of crossover paths and the low power information, the second set of crossover paths being a subset of the first set of crossover paths. Each of the second set of crossover paths is evaluated to identify circuit description errors, in particular functional circuit description errors.

Abstract: Verification-result ranking techniques for root cause analysis are disclosed using violation report analysis and violation weighting. Violation reports are unwieldy and result from a variety of design and process checks. The check coverage can overlap, causing a specific violation to trigger multiple reported violations. High turn around times for violation report analysis increase the risk that selective violation analysis will inadvertently suppress real design bugs. This reduces the odds that static checker reports alone will meet design sign-off criteria. Determining relationships among a plurality of violations for a design permits clustering violations into hot spots. Identification of primary and subsequent contributors to the plurality of violations is based on the relationships among violations. The hot spot with the highest weight is identified, and then subsequent violations are identified to maximize violation coverage.