PATENT CLAIM ANALYSIS

Application Number: 16009436
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["717", "175000"]

Abstract:
A method, computer system, and computer program product for distributing a composite application is provided. The composite application includes several components, and is adapted to be distributed on multiple systems implementing runtime environments. The components have associated distribution descriptors. The distribution descriptors specify requirements for the at least one target runtime environment. The method includes selecting a composite application from a code asset repository and upon the selection of the composite application, creating a distributing workflow by a distributing unit. The distributing workflow includes a configuration. The configuration specifies the at least one target runtime environment. The method further includes executing the distributing workflow. The executing can include evaluating the distribution descriptor of each component according to the configuration, based on the evaluating, creating a distribution script for each component, and executing the distribution scripts.

Claim (Index 5):
The method of  claim 1 , wherein the plurality of components are distributed over at least two systems of the multiple systems, the systems being comprised in a system topology.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 94.0
- Lexical Diversity: 2.22059
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12059654', '12969446', '10745120', '11066239', '09947140']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3789361874949912
- 35 USC 102 Novelty (BERT): 0.505452493949032
- Combined Prediction Score: 0.3915878181403953
- Mean Citation Score: 140.87955200000005
- Max Citation Score: 147.76938
- Similarity Product: 92.29278145606756

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

Dataset: test