PATENT CLAIM ANALYSIS

Application Number: 15860720
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["718", "104000"]

Abstract:
A method and associated systems for ensuring resilience of a business function manages resource availability for projects that perform mission-critical tasks for the business function. The method and systems create a model that reveals dependencies among types of resources needed by a project, such that the model describes how the unavailability of one instance of a resource propagates disruptions to other instances of the same type of resource. This model automatically identifies a resource type as being critical if a disruption of an instance of the resource type would render a project task infeasible, and if restoring that task would incur unacceptable cost. The model may also automatically identify a first resource type as being critical for a second resource type when disruption of the first resource type reduces the available capacity of the second resource type to an unacceptable level.

Claim (Index 13):
The computer program product of  claim 12 , where the substituting is constrained by a substitutability rule that specifies an amount of the second resource required to compensate for the decrease in the total available capacity of the first resource.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 86.0
- Lexical Diversity: 1.98649
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14249782', '14250684', '13483492', '12885705', '13338559']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4981556056344374
- 35 USC 102 Novelty (BERT): 0.5848858217248549
- Combined Prediction Score: 0.5068286272434792
- Mean Citation Score: 307.31333600000005
- Max Citation Score: 437.00516
- Similarity Product: 391.1216936677742

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