PATENT CLAIM ANALYSIS

Application Number: 15966445
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["717", "120000"]

Abstract:
Systems, methods, and computer-readable media are provided for a multi-tenant collaborative learning environment, where information from all tenants in a multi-tenant system is collected and used to provide individual tenants with code fixes and/or optimization recommendations based on the collected information. Other embodiments may be described and/or claimed.

Claim (Index 5):
The computer program of  claim 1 , wherein, when the one or more source code documents comprise new source code and the identified code block type is a query language code block, the set of instructions is operable to:\n parse the identified code block into individual fields; identify each parsed field; determine an estimated resource consumption for each identified field based on code blocks and associated query times stored in the CTLDB; determine, as the performance predictions, a predicted resource consumption for the one or more source code documents based on aggregation of the estimated resource consumption for each identified field; and generate the feedback to at least include the predicted resource consumption.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.23256
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13091353', '15456278', '15140771', '15421092', '12169400']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3516523014806166
- 35 USC 102 Novelty (BERT): 0.4999515130202873
- Combined Prediction Score: 0.3664822226345837
- Mean Citation Score: 145.40696400000004
- Max Citation Score: 155.37033
- Similarity Product: 105.43502107868672

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

Dataset: test