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 18):
The method of  claim 14 , wherein each of the one or more analyzer components is an instance that provides isolation between the analysis performed for the codebase and other analyses performed for different source code by other instances.

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): 0.3852593760142094
- 35 USC 102 Novelty (BERT): 0.5364007211704602
- Combined Prediction Score: 0.4003735105298345
- Mean Citation Score: 185.514758
- Max Citation Score: 314.81836
- Similarity Product: 195.1624464992404

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