PATENT CLAIM ANALYSIS

Application Number: 15941228
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["717", "100000"]

Abstract:
A request is received for a computing system to automatically identify a peer reviewer for a particular source code component. A copy of the particular source code component is accessed from computer memory and analyzed to determine a set of characteristics of the particular source code component. A plurality of other source code components are analyzed, where were authored by a plurality of other users to determine a particular one of the other users as authoring source code with characteristics similar to the set of characteristics. Data is generated to identify selection of the particular user as a peer review candidate for reviewing the particular software component.

Claim (Index 6):
The method of  claim 1 , wherein one or more of the set of characteristics are identified using a machine learning algorithm, the particular source code component is provided as an input to the machine learning algorithm, and the set of characteristics comprise an output of the machine learning algorithm.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.11321
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14941693', '13077175', '13734943', '15476266', '15638258']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3471161141817746
- 35 USC 102 Novelty (BERT): 0.4919113011199608
- Combined Prediction Score: 0.3615956328755932
- Mean Citation Score: 151.420896
- Max Citation Score: 155.86891
- Similarity Product: 113.67663025033356

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