PATENT CLAIM ANALYSIS

Application Number: 16026831
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["709", "221000"]

Abstract:
A method and associated systems for predicting a degree of risk associated with a planned change to a computer server or other electronic component. A computerized change-management system receives Probability and impact inputs derived from user-derived input, from which it determines a Baseline risk of change failure. The system processes mined data to determine an historic change-failure rate as a function of a type of change, and computes a predictive incident probability based on a predictive analytics engine's forecast of whether a particular type of server will be problematic. The system then computes a final Change Risk by adjusting the Baseline risk as a function of the historic change-failure rate, the predictive incident-probability, and a Baseline-specific weighting factor. If the resulting Change Risk is judged to be elevated, the system initiates collateral actions and notifications intended to reduce the probability and impact of a change failure.

Claim (Index 7):
The system of  claim 1 , where the collateral activities consist of a combination of two or more activities selected from the group consisting of:\n updating a previously installed operating system of the virtual server to a latest version, blocking a mission-critical application from accessing the virtual server during the planned server change, allocating additional virtual RAM to the virtual server, allocating additional virtual disk storage to the virtual server, and initiating an enhanced error-collection or system-logging procedure during a window of time surrounding a scheduled time of the planned server change.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 1.78409
- Patent Class: 709.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14954134', '14730234', '10661756', '14860766', '14547225']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2690392070119629
- 35 USC 102 Novelty (BERT): 0.5698560848333305
- Combined Prediction Score: 0.2991208947940996
- Mean Citation Score: 236.998426
- Max Citation Score: 508.9812
- Similarity Product: 340.8835931485176

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

Dataset: test