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 1):
A computer program to be implemented by a multi-tenant system, the computer program comprising a set of instructions operable to:\n parse one or more source code documents into a set of code blocks; and for each code block of the set of code blocks:\n identify a code block type of the code block, \n operate an analysis engine that corresponds to the identified code block type to: analyze the code block based on other code blocks stored in a cross-tenant learnt database (CTLDB), and determine performance predictions based on the analysis of the code block, \n generate feedback for individual tenants of the multi-tenant system based on the determined performance predictions, and \n provide the feedback to the individual tenants before or during a compile time of the one or more source code documents.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.23256
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13091353', '15456278', '15140771', '15421092', '12169400']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3276027785736738
- 35 USC 102 Novelty (BERT): 0.4867419716483853
- Combined Prediction Score: 0.343516697881145
- Mean Citation Score: 145.40696400000004
- Max Citation Score: 155.37033
- Similarity Product: 115.51542239890516

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