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 18):
The computer program product of  claim 15 , where the identifying a historic change-failure rate further comprises:\n the processor directing the predictive analytics engine to organize the mined data into a set of change classes that are each associated with a type of server change; and the processor associating each change class of the set of change classes, as a function of the mined data, with a probability of change failure.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 1.78409
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14954134', '14730234', '10661756', '14860766', '14547225']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2339173016805617
- 35 USC 102 Novelty (BERT): 0.5971371679570109
- Combined Prediction Score: 0.2702392883082066
- Mean Citation Score: 236.998426
- Max Citation Score: 508.9812
- Similarity Product: 461.4321313574552

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