PATENT CLAIM ANALYSIS

Application Number: 16053856
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["716", "113000"]

Abstract:
A timing error analysis method includes, extracting, from error information, a design value related to a delay amount of a signal path and a feature that is an input when a machine learning model learns with the design value as an output, estimating a correct answer value of the design value from the feature and the machine learning model learning a relationship between the design value and the feature, comparing the design value with the correct answer value and storing a comparison result, generating a comparison result list including countermeasures for eliminating the timing error according to the comparison result, aggregating signal paths included in the comparison result list for each design block to generate an error list including information indicating the signal paths aggregated for each of the design blocks and the countermeasures, and outputting the error list.

Claim (Index 5):
The timing error analysis method according to  claim 3 , further comprising:\n generating second error ratio information indicating a ratio between a signal path associated with the arrangement area error information and a signal path associated with the detouring wiring error information based on the comparison result list; and outputting the second error ratio information.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 96.0
- Lexical Diversity: 2.34921
- Patent Class: 716.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15992334', '10270111', '10979117', '13177111', '11101572']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3274249391049136
- 35 USC 102 Novelty (BERT): 0.4641410433925489
- Combined Prediction Score: 0.3410965495336772
- Mean Citation Score: 169.86782399999996
- Max Citation Score: 192.72916
- Similarity Product: 139.8942616483474

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test