PATENT CLAIM ANALYSIS

Application Number: 15919192
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["717", "113000"]

Abstract:
Embodiments relate to incorporating supplemental information into a code editor's editing view that may make the code more understandable to those not familiar or comfortable with the code. The editor receives adornments that may be translations or semantic equivalents of constructs already in the code. The editor adds the adornments to an editing view for editing the source code. The adornments are inserted into lines of the source code displayed in the editing view and have some of the appearance of the source code in the editing view. The adornments are passive with respect to the source code; they are not necessarily compiled or saved. The adornments may be tokens provided by a compiler and/or an integrated development environment. The editor may apply heuristics or rules to determine which adornments are to be used and where they will be inserted.

Claim (Index 2):
A method according to  claim 1 , further comprising tracking the tokens added to the source code file in the editing region, wherein when the source code displayed in the editing region is saved to the source code file by the code editor, the tokens replaced in the editing region are, according to the tracking, not saved to the source code file.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 90.0
- Lexical Diversity: 2.06944
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15620474', '14725011', '15243843', '09940242', '14583801']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3800928800683059
- 35 USC 102 Novelty (BERT): 0.4994544077960703
- Combined Prediction Score: 0.3920290328410823
- Mean Citation Score: 195.77785
- Max Citation Score: 212.28333
- Similarity Product: 153.06190223459066

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

Dataset: test