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US 7,607,046 B1Granted
System for predicting and preventing escalations
AssigneeSun Microsystems, Inc.
InventorTilmann Bruckhaus
Life of this patent
Estimating the term…
Abstract
In one embodiment, a method and apparatus for predicting and preventing escalations is disclosed. The method includes generating a predictive model from analysis of historical defect data and corresponding historical escalation data, and applying the predictive model to current defect data to determine an escalation risk of the current defect data.
Claims17
A method comprising:
- generating a predictive model from analysis of historical defect data and corresponding historical escalation data, including modeling a plurality of predictive models through a data-mining algorithm by examining patterns of the historical defect data and the historical escalation data, and validating each predictive model of the plurality of predictive models by comparing a predicted escalation risk determined by a predictive model with the historical escalation data associated with the defect;
- and
- applying the predictive model with the best validation accuracy to current defect data to determine an escalation risk of the current defect data.
A computer readable storage medium including data that, when accessed by a machine, cause the machine to perform operations comprising:
- generating a predictive model from analysis of historical defect data and corresponding historical escalation data, including modeling a plurality of predictive models through a data-mining algorithm by examining patterns of the historical defect data and the historical escalation data, and validating each predictive model of the plurality of predictive models by comparing a predicted escalation risk determined by a predictive model with the historical escalation data associated with the defect;
- and
- applying the predictive model with the best validation accuracy to current defect data to predict an escalation risk of the current defect data.
An apparatus, comprising an escalation prediction system to predict escalations and further including:
- a modeling and validation system to generate a predictive model from analysis of historical defect data and corresponding historical escalation data, including modeling a plurality of predictive models through a data-mining algorithm by examining patterns of the historical defect data and the historical escalation data, and validating each predictive model of the plurality of predictive models by comparing a predicted escalation risk determined by a predictive model with the historical escalation data associated with the defect;
- and
- a defect risk scoring system to apply the predictive model with the best validation accuracy to current defect data to predict an escalation risk of the defect.
Dependencies are inferred from the claim text.