PATENT CLAIM ANALYSIS

Application Number: 15908353
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-05
Patent Classification: ["716", "136000"]

Abstract:
The present disclosure describes a method for detecting unacceptable connection patterns. The method includes, using a processor to perform at least one of: performing an automated place-and-route (APR) process on a circuit layout that includes a first standard cell without a marker layer to generate a circuit graphic database system (GDS) file from the circuit layout, generating a standard-cell GDS file that includes a second standard cell with at least one marker layer applied to the second standard cell, and merging the circuit GDS file with the standard-cell GDS file to generate a merged GDS file that includes the first standard cell with at least one marker layer based on the second standard cell. The method further includes determining whether a connection pattern of the first standard cell in the merged GDS file is an unacceptable connection pattern.

Claim (Index 7):
The method of  claim 1 , wherein the determining whether the connection pattern in the first standard cell is an unacceptable connection pattern comprises:\n storing a rule for acceptable connection patterns for the first standard cell; comparing the connection pattern in the first standard cell to the rule for acceptable connection patterns; and in response to the connection pattern in the first standard cell violating the rule for acceptable connections, determining the connection pattern in the first standard cell to be an unacceptable connection pattern.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.32812
- Patent Class: 716.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14528314', '15483516', '14801239', '14690227', '14975482']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3425695423130928
- 35 USC 102 Novelty (BERT): 0.4741008254341519
- Combined Prediction Score: 0.3557226706251988
- Mean Citation Score: 157.666002
- Max Citation Score: 168.43979
- Similarity Product: 106.7618826965618

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test