PATENT CLAIM ANALYSIS

Application Number: 15892940
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-06
Patent Classification: ["717", "155000"]

Abstract:
A method and apparatus for generating an application flow logic are disclosed which include performing an initialization process based on storage of at least one software toolbox in a toolbox list of a computer memory device; parsing an application description into a series of module descriptors; creating a module primitive defined in a dictionary as a data string representing a name of a tool in the software toolbox, and a data string for least one of: an input, an output, or a data string; producing a module for each module primitive, an input to each tool being produced as an output of another tool; assembling an application flow logic as a combination of produced modules; and providing access to the application flow logic for execution as a combination of calls to the produced modules stored in the computer memory device.

Claim (Index 7):
The method of  claim 1 , comprising:\n executing each module in an order of execution, whereby the executing includes input functions for the module to retrieve data from the computer memory device, the data being passed to the module's tool; and returning values for storage in the computer memory device using an output function for that module.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 88.0
- Lexical Diversity: 2.15714
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11312012', '12834031', '11268918', '12199465', '11305060']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3366883560136866
- 35 USC 102 Novelty (BERT): 0.4829056706463864
- Combined Prediction Score: 0.3513100874769566
- Mean Citation Score: 129.65291000000002
- Max Citation Score: 136.12947
- Similarity Product: 95.14685632014512

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

Dataset: test