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 16):
The computer system of  claim 11 , wherein, when the one or more source code documents comprise new source code and the identified code block type is a data logging code block, the processor system is to:\n identify information types to be stored in a tenant space when the code block is to be executed; determine, based on code blocks and associated information types stored in the CTLDB, whether storage of any of the identified information types is permitted by a selected regulatory scheme; determine the performance predictions to be one or more information types that are not permitted to be stored according to the selected regulatory scheme; and generate the feedback to at least indicate the performance predictions and at least one mechanism that would prevent the one or more information types from being stored when the code block is executed.

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): 0.3517675590525106
- 35 USC 102 Novelty (BERT): 0.4994768547315994
- Combined Prediction Score: 0.3665384886204195
- Mean Citation Score: 145.40696400000004
- Max Citation Score: 155.37033
- Similarity Product: 105.8733807308811

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