Adaptively shrinking software

• US 10,101,973 B1
• Filed: 02/21/2017
• Issued: 10/16/2018
• Est. Priority Date: 10/07/1998
• Status: Expired due to Term

• Current Assignee: International Business Machines Corporation
• Original Assignee: Open Invention Network LLC
• Inventors: Ogilvie, John W. L.
• Primary Examiner(s): Deng, Anna
• Application Number:
  US15/438,090
• Time in Patent Office: 602 Days
• Field of Search: 717110
• CPC Class Codes: G06F 8/33 Intelligent editors
• CPC Class Codes: G06F 8/70 Software maintenance or management
• CPC Class Codes: G06F 9/44521 Dynamic linking or loading; Link editing at or after load time, e.g. Java class loading

Abstract

Methods, articles, signals, and systems are provided for adaptively shrinking software. The software includes one or more adaptive features. A tracking facility tracks use of the adaptive features, and when it is determined that a given feature is unwanted or unnecessary in the software configuration preferred by a given user, a separation facility separates the feature from the rest of the software. The feature is then archived or deleted. In this manner, resources such as disk space are conserved, program load time and memory requirements are reduced, and user interfaces and supporting code are tailored to meet the needs of particular users.

Claims

1. A method, comprising:

tracking, by a managed computing device that is remote from a manager computing device, a frequency of use of a plurality of adaptive features in a program on the managed computing device;

detecting, by the managed computing device, a trigger to search the plurality of adaptive features for removal of one or more of the plurality of adaptive features from the program on the managed computing device;

comparing, by the managed computing device as part of the search, the frequency of use of the plurality of adaptive features via a record of usage, to at least one feature specific criterion to determine a status of the plurality of adaptive features;

selecting, by the managed computing device based on the determined status from a result of the comparing, a candidate adaptive feature from among the plurality of adaptive features; and

notifying, by the managed computing device, the manager computing device the candidate adaptive feature selected for removal.

2. The method of claim 1, further comprising:

receiving, from the manager computing device in response to the notifying, approval to remove the candidate adaptive feature; and

removing, by the managed computing device, the candidate adaptive feature from the program.

3. The method of claim 2, further comprising:

requesting, by the managed computing device from the manager computing device, to restore the candidate adaptive feature after removal;

receiving, in response to the requesting, a copy of the candidate adaptive feature from the manager computing system; and

restoring, by the managed computing device, the candidate adaptive feature from the copy of the candidate adaptive feature.

4. The method of claim 2, further comprising:

querying, by the managed computing device, whether the manager computing device has a copy of the candidate adaptive feature;

deleting, by the managed computing device, the candidate adaptive feature in response to determining that the manager computing device has the copy of the candidate adaptive feature; and

sending, by the managed computing device, the candidate adaptive feature to the manager computing device for archival at the manager computing device in response to determining that the manager computing device does not have the copy of the candidate adaptive feature.

5. The method of claim 1, wherein the detecting the trigger further comprises:

receiving, from the manager computing device, a command to search the plurality of adaptive features, the command comprising the trigger.

6. The method of claim 1, further comprising:

receiving, from the manager computing device, a new adaptive feature for use at the managed computing device;

installing, by the managed computing device, the new adaptive feature in response to the receiving; and

removing, from the managed computing device, the new adaptive feature after a period of time in response to tracking the new adaptive feature and comparing to the at least one criterion.

7. The method of claim 1, further comprising:

sending, from the managed computing device to the manager computing device, a request for a new adaptive feature in response to a catalog selection action;

installing, by the managed computing device, the new adaptive feature in response to receiving the new adaptive feature based on the request; and

removing, from the managed computing device, the new adaptive feature after a period of time in response to tracking the new adaptive feature and comparing to the at least one criterion.

8. A method, comprising:

receiving, by a manager computing device from a managed computing device, a notification of a candidate adaptive feature selected by the managed computing device from among a plurality of adaptive features of a program for removal, wherein selecting the candidate adaptive feature comprises comparing a frequency of use of the plurality of adaptive features via a record of usage to at least one feature specific criterion to determine a status of the plurality of adaptive features, and selecting the candidate adaptive feature from among the plurality of adaptive features based on the determined status from a result of the comparing;

updating, by the manager computing device, a feature usage statistic associated with the candidate adaptive feature;

determining, by the manager computing device, whether to approve removal of the candidate adaptive feature from the managed computing device; and

sending, from the manager computing device, a decision from the determining to the managed computing device.

9. The method of claim 8, further comprising:

receiving, from the managed computing device after the notification, a query of whether the manager computing device has a copy of the candidate adaptive feature; and

checking, by the manager computing device, whether the manager computing device has a copy of the candidate adaptive feature.

10. The method of claim 9, further comprising:

locating, by the manager computing device, the copy of the candidate adaptive feature in an archive of the manager computing device; and

confirming, by the manager computing device to the managed computing device, that the manager computing device has the copy of the candidate adaptive feature in response to the locating.

11. The method of claim 9, further comprising:

failing, by the manager computing device, to locate the copy of the candidate adaptive feature at the manager computing device; and

informing, by the manager computing device to the managed computing device, that the manager computing device does not have the copy of the candidate adaptive feature.

12. The method of claim 11, further comprising:

receiving, from the managed computing device, the copy of the candidate adaptive feature; and

archiving, at the manager computing device, the copy of the candidate adaptive feature, wherein the candidate adaptive feature is deleted at the managed computing device after the copy of the candidate adaptive feature is archived at the manager computing device.

13. The method of claim 8, further comprising:

sending, from the manager computing device prior to the receiving the notification, a search command to the managed computing device, the search command configured to trigger the managed computing device to search the plurality of adaptive features for removal of one or more of the plurality of adaptive features from the program.

14. The method of claim 8, wherein the notification comprises feature selection data about the candidate adaptive feature, the method further comprising:

collating, by the manager computing device, the feature selection data with other feature selection data from one or more other managed computing devices into a feature selection data collection,

wherein the managed computing device and the one or more managed computing devices comprise a plurality of managed computing devices;

searching, by the manager computing device, the feature selection data collection for one or more patterns; and

providing, by the manager computing device, any results from the searching to the plurality of managed computing devices.

15. The method of claim 8, further comprising:

sending, from the manager computing device, a new adaptive feature to the managed computing device for use at the managed computing device,

wherein the new adaptive feature is removed from the managed computing device in response to selection for removal.

16. A non-transitory machine-readable medium of a managed computing device, having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:

tracking, by the managed computing device, a frequency of use of a plurality of adaptive features in a program on the managed computing device;

receiving, from a manager computing device remote from the managed computing device, a command to search the plurality of adaptive features at in the program on the managed computing device for removal of one or more of the plurality of adaptive features;

comparing the frequency of use of the plurality of adaptive features via a record of usage to at least one feature specific criterion to determine a status of the plurality of adaptive features;

selecting, based on the determined status from a result of the comparing, a candidate adaptive feature from among the plurality of adaptive features;

notifying the manager computing device the candidate adaptive feature selected for removal; and

removing a code portion of the candidate adaptive feature from the program on the managed computing device based on the selecting.

17. The non-transitory machine-readable medium of claim 16, the operations further comprising:

receiving, from the manager computing device in response to the notifying, approval to remove the candidate adaptive feature, wherein the removing is in response to the receiving the approval.

18. The non-transitory machine-readable medium of claim 16, the operations further comprising:

querying whether the manager computing device has a copy of the candidate adaptive feature;

deleting the candidate adaptive feature in response to determining that the manager computing device has the copy of the candidate adaptive feature; and

sending the candidate adaptive feature to the manager computing device for archival at the manager computing device in response to determining that the manager computing device does not have the copy of the candidate adaptive feature.

19. The non-transitory machine-readable medium of claim 16, the operations further comprising:

requesting, from the manager computing device, to restore the candidate adaptive feature after removal;

receiving, in response to the requesting, a copy of the candidate adaptive feature from the manager computing system; and

restoring the candidate adaptive feature from the copy of the candidate adaptive feature.

20. The non-transitory machine-readable medium of claim 16, the operations further comprising:

receiving, from the manager computing device, a new adaptive feature for use at the managed computing device;

installing the new adaptive feature in response to the receiving; and

removing, from the managed computing device, the new adaptive feature after a period of time in response to tracking the new adaptive feature and comparing to the at least one criterion.