PATENT CLAIM ANALYSIS

Application Number: 15942279
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-08
Patent Classification: ["717", "104000"]

Abstract:
Improving how a codebase, which may include source code, related databases, test files, code history, and/or changes, is drafted, edited, debugged, or otherwise developed. Machine learning is performed on a model codebase to establish a machine learning model. When a change to a codebase occurs, the machine learning model may be applied to evaluate that change. A change context providing context for this change is accessed. An analyzer then analyzes the change using the machine learning model and at least a part of the change context to generate an analysis result. Some information about the result is rendered. After rendering that information, a determination regarding how a user responded to the information is performed, and a subsequent analysis is then modified based on the user's response.

Claim (Index 16):
The method of  claim 14 , wherein the computer system additionally provides access control for the codebase such that an authentication is performed prior to accessing the codebase.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 90.0
- Lexical Diversity: 1.92105
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15942290', '14305994', '14306153', '15133278', '14515372']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3850340346970371
- 35 USC 102 Novelty (BERT): 0.5386968612451832
- Combined Prediction Score: 0.4004003173518517
- Mean Citation Score: 185.514758
- Max Citation Score: 314.81836
- Similarity Product: 178.7733566717577

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

Dataset: test