Self-learning automated information technology change risk prediction
US-2024414064-A1 · Dec 12, 2024 · US
US9418354B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9418354-B2 |
| Application number | US-201313851553-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 27, 2013 |
| Priority date | Mar 27, 2013 |
| Publication date | Aug 16, 2016 |
| Grant date | Aug 16, 2016 |
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With a computer processor, access is obtained to a sorted global tuple list of incident types, each tuple of which includes at least an incident identifier, a corresponding incident type, a corresponding context, and a corresponding impact factor. The latter specifies importance of solving the corresponding incident type in the corresponding context. Each tuple of the global tuple list is sorted by decreasing order of impact factor. At the computer processor, context information is obtained for at least one remote computing device; based on the context information and the sorted global tuple list, the computer processor sends, over a telecommunications infrastructure, data which causes an incident reporting display on the remote computing device to be re-ordered in accordance with the impact factors as they are ranked in accordance with the context information for the at least one remote computing device.
Opening claim text (preview).
What is claimed is: 1. A computer program product comprising a non-transitory computer readable storage medium having computer readable program code embodied therewith, said computer readable program code comprising: computer readable program code configured to obtain access to a sorted global tuple list of incident types, each tuple of said global tuple list comprising at least an incident identifier, a corresponding incident type, a corresponding context, and a corresponding impact factor, said corresponding impact factor specifying importance of solving said corresponding incident type in said corresponding context, each tuple of said global tuple list being sorted by decreasing order of said impact factor, wherein solving comprises generating and transmitting an incident report to a remote server; computer readable program code configured to obtain context information for at least one remote computing device; and computer readable program code configured to, based on said context information for said at least one remote computing device and said sorted global tuple list, send, over a telecommunications infrastructure, data which causes said sorted global tuple list of incident types in an incident reporting display on said remote computing device to be re-ordered in accordance with said impact factors as they are ranked in accordance with said context information for said at least one remote computing device, wherein each incident type in said incident reporting display is selectable for generating and transmitting a corresponding incident report to said remote server. 2. The computer program product of claim 1 , further comprising: computer readable program code configured to obtain access to an unsorted global tuple list of incident types, each tuple of said unsorted global tuple list comprising at least said incident identifier, said corresponding incident type, said corresponding context, and said corresponding impact factor; and computer readable program code configured to sort said unsorted global tuple list by decreasing order of said impact factor to obtain said sorted global tuple list. 3. The computer program product of claim 2 , wherein: said corresponding context comprises a time corresponding to said incident identifier, a location corresponding to said incident identifier, and weather corresponding to said incident identifier; said context information for said at least one remote computing device comprises time, location, and weather; and said computer readable program code configured to obtain said location for said at least one remote computing device comprises computer readable program code configured to obtain said location directly from said at least one remote computing device. 4. The computer program product of claim 3 , wherein said computer readable program code configured to obtain said weather of said context information for said at least one remote computing device comprises computer readable program code configured to obtain said weather of said context information for said at least one remote computing device indirectly from an external source. 5. The computer program product of claim 3 , wherein said context information for said at least one remote computing device further comprises user profile. 6. The computer program product of claim 2 , wherein said computer readable program code configured to obtain access to an unsorted global tuple list of incident types comprises computer readable program code configured to receive said unsorted global tuple list of incident types from said remote server via a telecommunications infrastructure, said remote server configured to store said unsorted global tuple list of incident types. 7. The computer program product of claim 2 , wherein said computer readable program code configured to obtain access to an unsorted global tuple list of incident types comprises computer readable program code configured to receive said unsorted global tuple list of incident types from a citizen sensor platform running on said remote server via a telecommunications infrastructure, said remote server configured to store said unsorted global tuple list of incident types. 8. The computer program product of claim 1 , further comprising: computer readable program code configured to obtain a plurality of incident reports from a plurality of external computing devices; and computer readable program code configured to periodically update said sorted global tuple list based on at least portions of said plurality of incident reports. 9. An apparatus comprising: a memory; and at least one processor, coupled to said memory, and operative to: obtain access to a sorted global tuple list of incident types, each tuple of said global tuple list comprising at least an incident identifier, a corresponding incident type, a corresponding context, and a corresponding impact factor, said corresponding impact factor specifying importance of solving said corresponding incident type in said corresponding context, each tuple of said global tuple list being sorted by decreasing order of said impact factor, wherein solving comprises generating and transmitting an incident report to a remote server; obtain context information for at least one remote computing device; and based on said context information for said at least one remote computing device and said sorted global tuple list, send, over a telecommunications infrastructure, data which causes said sorted global tuple list of incident types in an incident reporting display on said remote computing device to be re-ordered in accordance with said impact factors as they are ranked in accordance with said context information for said at least one remote computing device, wherein each incident type in said incident reporting display is selectable for generating and transmitting a corresponding incident report to said remote server. 10. The apparatus of claim 9 , wherein said at least one processor is further operative to: obtain access to an unsorted global tuple list of incident types, each tuple of said unsorted global tuple list comprising at least said incident identifier, said corresponding incident type, said corresponding context, and said corresponding impact factor; and sort said unsorted global tuple list by decreasing order of said impact factor to obtain said sorted global tuple list. 11. The apparatus of claim 10 , wherein: said corresponding context comprises a time corresponding to said incident identifier, a location corresponding to said incident identifier, and weather corresponding to said incident identifier; said context information for said at least one remote computing device comprises time, location, and weather; and said at least one processor is operative to to obtain said location for said at least one remote computing device comprises by obtaining said location directly from said at least one remote computing device. 12. The apparatus of claim 11 , wherein said at least one processor is operative to obtain said weather of said context information for said at least one remote computing device by obtaining said weather of said context information for said at least one remote computing device indirectly from an external source. 13. The apparatus of claim 11 , wherein said context information for said at least one remote computing device further comprises user profile. 14. The apparatus of claim 10 , wherein said at least one processor operative to obtain access to an unsorted global tuple list of incident types is further operative to receive said unsorted global tuple list of incident types from said remote server via a tel
using context · CPC title
using ranking · CPC title
Office automation; Time management · CPC title
Government or public services (business processes related to the transportation industry G06Q50/40) · CPC title
Physics · mapped topic
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