PATENT CLAIM ANALYSIS

Application Number: 15752022
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["709", "220000"]

Abstract:
Examples relate to human-readable cloud structures. Some examples disclosed herein may enable identifying cloud definition data describing a cloud to be deployed. The cloud definition data comprises a set of structural attributes that define a structure of the cloud and a set of non-structural attributes. Some examples may enable generating a first human-readable artifact that describes the structure of the cloud in natural language using the set of structural attributes of the cloud definition data, modifying a portion of the cloud definition data, generating a second human-readable artifact describing the structure of the cloud in natural language using the set of structural attributes of the cloud definition data that includes the modified portion, and determining whether the structure of the cloud in the second human-readable artifact is different from the structure of the cloud in the first human-readable artifact by comparing the first human-readable artifact with the second human-readable artifact.

Claim (Index 16):
A system for generating human-readable cloud structures, the system comprising:\n a processor that: obtains cloud definition data describing a cloud to be deployed, the cloud definition data comprising a set of structural attributes that define a structure of the cloud and a set of non-structural attributes; generates a cloud model based on the cloud definition data, the cloud model comprising a set of configuration artifacts that, when executed, cause the cloud to be deployed; generates a first human-readable artifact that describes the structure of the cloud in natural language using the set of structural attributes of the cloud definition data; executes the cloud model to cause the cloud to be deployed; updates the cloud definition data; generates an updated cloud model based on the updated cloud definition data; generates a second human-readable artifact that describes the structure of the cloud in natural language using the set of structural attributes of the updated cloud definition data; and prior to executing the updated cloud model, identifies a portion in one of the first and second human-readable artifacts that is different from the other of the first and second human-readable artifacts.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 88.0
- Lexical Diversity: 2.90741
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14820926', '14821127', '14711141', '14621114', '15802917']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2596136871170477
- 35 USC 102 Novelty (BERT): 0.4744807450538358
- Combined Prediction Score: 0.2811003929107266
- Mean Citation Score: 172.57111799999996
- Max Citation Score: 220.52023
- Similarity Product: 180.9348018215001

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

Dataset: test