Automated software update scheduling

• US 9,715,378 B2
• Filed: 12/18/2013
• Issued: 07/25/2017
• Est. Priority Date: 12/18/2013
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Paul, Chakkalamattam J., Dickerson, Scott S., Fletcher, James C.
• Primary Examiner(s): Wu, Daxin
• Application Number:
  US14/132,912
• Publication Number:
  US 20150169311A1
• Time in Patent Office: 1,315 Days
• Field of Search: None
• CPC Class Codes: G06F 8/65 Updates security arrangements therefor G06F21/57

Abstract

A method, system or computer usable program product for scheduling a software update affecting vehicle functionality based on usage patterns including tracking usage patterns of a vehicle; automatically determining a time window for scheduling a software update that affects vehicle functionality to the vehicle based on the tracked usage patterns; and applying software updates to the vehicle during the scheduled time window.

Claims

1. A method of scheduling a software update affecting vehicle functionality based on usage patterns comprising:

tracking usage of a vehicle for storage of historical usage patterns in memory, wherein the historical usage patterns comprise usage information indicating a usage of the vehicle during previous periods of time and wireless connectivity information indicating whether wireless connectivity was available during the previous periods of time;

prior to determining a scheduled time window, determining whether failed completion of the software update would affect the safe functioning of the vehicle;

upon a positive determination that failed completion of the software update would affect safe operation of the vehicle, establishing a set of requirements that the vehicle be in a predetermined operation state and that wireless connectivity be available during the software update;

utilizing a processor to automatically predict a set of future time periods including date and time and vehicle location, when the set of requirements are met for scheduling a future software update based on the usage information and wireless connectivity information in the historical usage patterns stored in memory;

determining a scheduled time window in the future for performing the software update based on the predicted set of future time periods; and

applying the software update to the vehicle during the scheduled time window.

2. The method of claim 1 further comprising:

running diagnostics on the vehicle with updated software; and

responsive to detecting a problem in an operation of the vehicle based on the updated software, automatically restoring a previous version of the software.

3. The method of claim 1 further comprising:

providing a user interface allowing a user to select one of allowing the software update during the scheduled time window and preventing the software update.

4. The method of claim 1 wherein the software updates are applied to the vehicle at a home station during a time frame of historic no usage.

5. The method of claim 1 further comprising:

determining whether vehicle user approval is needed for the software update;

notifying the vehicle user of the scheduled time window; and

upon a positive determination that vehicle user approval is needed for the software update, cancelling the software update if vehicle user approval is not received prior to the scheduled time window.

6. The method of claim 1 wherein tracking usage also includes tracking vehicle location information;

and wherein automatically predicting the set of future time periods includes comparing vehicle location information to a set of software update requirements.

7. The method of claim 1 further comprising determining whether there are no future time periods including date and time and vehicle location when the set of requirements are met for scheduling a future software update based on the historical usage patterns stored in memory;

and upon a positive determination of no future time periods, splitting the software update into multiple incremental software updates to be scheduled at separate future time periods.

8. The method of claim 7 further comprising:

running diagnostics on the vehicle with updated software; and

responsive to detecting a problem, restoring automatically a previous version;

providing a user interface allowing a user to select one of allowing the software update during the scheduled time window and preventing the software update; and

responsive to detecting a change of vehicle usage during a scheduled time window, suspending the software update;

wherein the software updates are applied to the vehicle at a home station during a time frame of historic no usage.

9. A computer usable program product comprising a non-transitory computer usable storage medium including computer usable code for use in scheduling a software update affecting vehicle functionality based on usage patterns, the computer usable program product comprising code for performing the steps of:

tracking usage of a vehicle for storage of historical usage patterns in memory, wherein the historical usage patterns comprise usage information indicating a usage of the vehicle during previous periods of time and wireless connectivity information indicating whether wireless connectivity was available during the previous periods of time;

prior to determining a scheduled time window, determining whether failed completion of the software update would affect the safe functioning of the vehicle;

upon a positive determination that failed completion of the software update would affect safe operation of the vehicle, establishing a set of requirements that the vehicle be in a predetermined operation state and that wireless connectivity be available during the software update;

utilizing a processor to automatically predict a set of future time periods including date and time and vehicle location when the set of requirements are met for scheduling a future software update based on the usage information and wireless connectivity information in the historical usage patterns stored in memory;

determining a scheduled time window in the future for performing the software update based on the predicted set of future time periods; and

applying the software updates to the vehicle during the scheduled time window.

10. The computer usable program product of claim 9 further comprising:

running diagnostics on the vehicle with updated software; and

responsive to detecting a problem in an operation of the vehicle based on the updated software, automatically restoring a previous version of the software.

11. The computer usable program product of claim 9 further comprising:

providing a user interface allowing a user to select one of allowing the software update during the scheduled time window and preventing the software update.

12. The computer usable program product of claim 9 wherein the software updates are applied to the vehicle at a home station during a time frame of historic no usage.

13. The computer usable program product of claim 9 further comprising:

determining whether vehicle user approval is needed for the software update;

notifying the vehicle user of the scheduled time window; and

upon a positive determination that vehicle user approval is needed for the software update, cancelling the software update if vehicle user approval is not received prior to the scheduled time window.

14. The computer usable program product of claim 9 wherein tracking usage also includes tracking vehicle location information;

and wherein automatically predicting the set of future time periods includes comparing vehicle location information to a set of software update requirements.

15. A data processing system for scheduling a software update affecting vehicle functionality based on usage patterns, the data processing system comprising:

a processor; and

a memory storing program instructions which when executed by the processor execute the steps of;

tracking usage of a vehicle for storage of historical usage patterns in memory, wherein the historical usage patterns comprise usage information indicating a usage of the vehicle during previous periods of time and wireless connectivity information indicating whether wireless connectivity was available during the previous periods of time;

prior to determining a scheduled time window, determining whether failed completion of the software update would affect the safe functioning of the vehicle;

upon a positive determination that failed completion of the software update would affect safe operation of the vehicle, establishing a set of requirements that the vehicle be in a predetermined operation state and that wireless connectivity be available during the software update;

utilizing the processor to automatically predict a set of future time periods including date and time and vehicle location, when the set of requirements are met for scheduling a future software update based on the usage information and wireless connectivity information in the historical usage patterns stored in memory;

determining a scheduled time window in the future for performing the software update based on the predicted set of future time periods; and

applying the software updates to the vehicle during the scheduled time window.

16. The data processing system of claim 15 further comprising:

running diagnostics on the vehicle with updated software; and

responsive to detecting a problem in an operation of the vehicle based on the updated software, automatically restoring a previous version of the software.

17. The data processing system of claim 15 further comprising:

providing a user interface allowing a user to select one of allowing the software update during the scheduled time window and preventing the software update.

18. The data processing system of claim 15 wherein the software updates are applied to the vehicle at a home station during a time frame of historic no usage.

19. The data processing system of claim 15 further comprising:

determining whether vehicle user approval is needed for the software update;

notifying the vehicle user of the scheduled time window; and

upon a positive determination that vehicle user approval is needed for the software update, cancelling the software update if vehicle user approval is not received prior to the scheduled time window.

20. The data processing system of claim 15 wherein tracking usage also includes tracking vehicle location information;

and wherein automatically predicting the set of future time periods includes comparing vehicle location information to a set of software update requirements.