An issue tracking system capable of predicting the likelihood that an outcome of interest will occur during the lifecycle of an active support ticket. The likelihood can be represented as a severity index score. The issue tracking system can apply a predictive algorithm on attributes of the active support ticket to generate the severity index score. The predictive algorithm to use can depend on the outcome of interest while the correlation factors used to configure the predictive algorithm can depend on support tickets that have already been completed.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method, comprising: identifying, by a processor, an outcome of interest related to support tickets created to report issues with a product or service; retrieving, by the processor and from a predictive analysis engine, a plurality of correlation factors that are correlated with the outcome of interest; retrieving, by the processor, an active support ticket; and applying, by the processor, a predictive algorithm to the active support ticket to generate a severity index score configured to measure the likelihood that the outcome of interest will result during the lifecycle of the active support ticket, wherein the predictive algorithm is configured using the plurality of correlation factors. 2. The computer-implemented method of claim 1, wherein the plurality of correlation factors are ranked. 3. The computer-implemented method of claim 1, wherein each of the correlation factors is an attribute configurable on the support tickets. 4. The computer-implemented method of claim 1, further comprising: selecting, by the processor, the predictive algorithm according to the outcome of interest. 5. The computer-implemented method of claim 1, further comprising: detecting, by the processor, a change to the active support ticket; and reapplying, by the processor, the predictive algorithm to the active support ticket to regenerate the severity index score. 6. The computer-implemented method of claim 1, wherein the predictive analysis engine generates the plurality of correlation factors by analyzing completed support tickets. 7. The computer-implemented method of claim 1, further comprising: determining, by the processor, that the severity index score is above a predefined threshold; issuing, by the processor, a notification alert to report the likelihood that the active support ticket will result in the outcome of interest in response to the determination. 8. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions for: identifying an outcome of interest related to support tickets created to report issues with a product or service; retrieving, from a predictive analysis engine, a plurality of correlation factors that are correlated with the outcome of interest; retrieving an active support ticket; and applying a predictive algorithm to the active support ticket to generate a severity index score configured to measure the likelihood that the outcome of interest will result during the lifecycle of the active support ticket, wherein the predictive algorithm is configured using the plurality of correlation factors. 9. The non-transitory computer readable storage medium of claim 8, wherein the plurality of correlation factors are ranked. 10. The non-transitory computer readable storage medium of claim 8, wherein each of the correlation factors is an attribute configurable on the support tickets. 11. The non-transitory computer readable storage medium of claim 8, further comprising: selecting the predictive algorithm according to the outcome of interest. 12. The non-transitory computer readable storage medium of claim 8, further comprising: detecting a change to the active support ticket; and reapplying the predictive algorithm to the active support ticket to regenerate the severity index score. 13. The non-transitory computer readable storage medium of claim 8, wherein the predictive analysis engine generates the plurality of correlation factors by analyzing completed support tickets. 14. The non-transitory computer readable storage medium of claim 8, further comprising: determining that the severity index score is above a predefined threshold; issuing a notification alert to report the likelihood that the active support ticket will result in the outcome of interest in response to the determination. 15. A computer implemented system, comprising: one or more computer processors; and a non-transitory computer-readable storage medium comprising instructions, that when executed, control the one or more computer processors to be configured for: identifying an outcome of interest related to support tickets created to report issues with a product or service; retrieving, from a predictive analysis engine, a plurality of correlation factors that are correlated with the outcome of interest; retrieving an active support ticket; and applying a predictive algorithm to the active support ticket to generate a severity index score configured to measure the likelihood that the outcome of interest will result during the lifecycle of the active support ticket, wherein the predictive algorithm is configured using the plurality of correlation factors. 16. The computer implemented system of claim 15, wherein the plurality of correlation factors are ranked. 17. The computer implemented system of claim 15, wherein each of the correlation factors is an attribute configurable on the support tickets. 18. The computer implemented system of claim 15, further comprising: selecting the predictive algorithm according to the outcome of interest. 19. The computer implemented system of claim 15, further comprising: detecting a change to the active support ticket; and reapplying the predictive algorithm to the active support ticket to regenerate the severity index score. 20. The computer implemented system of claim 15, further comprising: determining that the severity index score is above a predefined threshold; issuing a notification alert to report the likelihood that the active support ticket will result in the outcome of interest in response to the determination.