PATENT CLAIM ANALYSIS

Application Number: 16435366
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-12
Patent Classification: ["717", "125000"]

Abstract:
Methods and systems for testing blockchain technology measuring blockchain performance, calculating blockchain performance metrics, and presenting blockchain test results to a user. Considering both network size and workload level, the system automatically identifies potential flaws in a blockchain technology solution, evaluates operational performance criteria, including scalability, scalability robustness, workload, workload robustness, security and privacy.

Claim (Index 8):
A method of testing a blockchain technology solution, comprising the steps of:\n selecting a network size; selecting a workload level; operating said blockchain technology solution using a network of nodes at said network size and with a workload at said workload level; and automatically determining one or more of transaction latency workload, transaction latency workload robustness, transaction throughput workload, transaction throughput workload robustness, transaction fail ratio workload, transaction fail ratio workload robustness, CPU consumption workload, CPU consumption workload robustness, and RAM consumption workload, and RAM consumption workload robustness of said blockchain technology solution.

Metadata:
- Claim Count in Document: 36.0
- Percentile: 100.0
- Lexical Diversity: 1.58537
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15942604', '16135701', '16136637', '16208853', '11116690']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3746374119323347
- 35 USC 102 Novelty (BERT): 0.4908392930174397
- Combined Prediction Score: 0.3862576000408452
- Mean Citation Score: 186.85443400000003
- Max Citation Score: 197.86821
- Similarity Product: 149.64984468397378

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