Optimizing feature deployment based on usage pattern

• US 10,509,641 B2
• Filed: 02/04/2019
• Issued: 12/17/2019
• Est. Priority Date: 03/21/2017
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Bershansky, Gregory, Mehra, Anil, Garg, Sanjay, Molnar, Christian D.
• Primary Examiner(s): Wang, Philip
• Assistant Examiner(s): Wang, Rongfa P
• Application Number:
  US16/266,234
• Publication Number:
  US 20190171439A1
• Time in Patent Office: 316 Days
• Field of Search: None
• CPC Class Codes: G06F 8/65 Updates security arrangements therefor G06F21/57

Abstract

Variety of approaches to optimize a feature deployment based on an usage pattern are described. A hosted service initiates operations to optimize the feature deployment upon detecting a feature update associated with an application. Next, a target audience for the feature update is identified by processing an usage pattern signal of the application based on information update and an organizational rule associated with the feature update. The feature update is deployed to the target audience.

Claims

1. A hosted service to optimize feature deployment based on a usage pattern, the hosted service executing on a server comprising a memory storing instruction and a processor executing the hosted service in conjunction with the instructions stored in the memory, the hosted service comprising:

an inference module configured to;

receive a notification of a feature update associated with an application from a product source;

retrieve the feature update from the product source;

receive a usage pattern signal that matches information associated with the feature update upon querying a usage pattern source;

receive an organizational rule that matches the information associated with the feature update upon querying an organizational rule source;

identify a target audience for the feature update by processing the usage pattern signal based on the information and the organizational rule associated with the feature update; and

a deployment module configured to;

deploy the feature update to the target audience.

2. The hosted service of claim 1, wherein the inference module is further configured to:

determine the feature update as a repair for an error in an existing feature of the application;

identify the client device that renders the application by processing the usage pattern signal based on the organizational rule; and

include the client device in the target audience.

3. The hosted service of claim 1, wherein the organizational rule includes a comparison of a number of errors associated with the existing feature of the application to an impact threshold.

4. The hosted service of claim 1, wherein the organizational rule describes a gradual deployment of the repair for the error in the existing feature of the application to the client device that renders the application.

5. The hosted service of claim 1, wherein the inference module is further configured to:

identify other client device that renders the application by processing the usage pattern based on the organizational rule with an operation to;

compare a number of the errors associated with the existing feature of the application to an impact threshold; and

include the other client device in the target audience.

6. The hosted service of claim 1, wherein the application includes one of a client interface provided by the hosted service, a stand-alone application, and other client interface provided by other service.

7. A system to optimize feature deployment based on a usage pattern, comprising:

a computer comprising a processor and a memory having computer-executable instructions stored thereupon which, when executed by the processor, cause the computer to;

detect a feature update associated with an application;

receive a usage pattern signal that matches information associated with the feature update from a usage pattern source;

receive an organizational rule that matches the information associated with the feature update from the usage pattern source;

identify a target audience for the feature update by processing the usage pattern signal of the application based on the information and the organizational rule associated with the feature update; and

deploy the feature update to the target audience.

8. The system of claim 7, wherein the information associated with the feature update includes one or more of a name, a type, and a relationship associated with an existing feature.

9. The system of claim 7, wherein detecting the feature update associated with the application comprises:

receiving a notification from a product source, wherein the notification describes the feature update associated with the application; and

retrieving the feature update.

10. The system of claim 7, the memory having further computer-executable instructions stored thereupon which, when executed by the processor, cause the computer to:

query the usage pattern source based on the information and the organizational rule associated with the feature update.

11. The system of claim 7, the memory having further computer-executable instructions stored thereupon which, when executed by the processor, cause the computer to:

query the organizational rule source based on the information associated with the feature update.

12. The system of claim 7, the memory having further computer-executable instructions stored thereupon which, when executed by the processor, cause the computer to:

determine the feature update as a new feature of the application;

identify a client device that renders the application by processing the usage pattern signal based on the organizational rule; and

include the client device in the target audience.

13. The system of claim 12, wherein the organizational rule includes a comparison of a number of interactions of a user of the client device with the application to an interaction threshold.

14. The system of claim 12, wherein the organizational rule describes a gradual deployment of the new feature of the application to the client device that renders the application.

15. The system of claim 7, the memory having further computer-executable instructions stored thereupon which, when executed by the processor, cause the computer to:

determine the feature update as a revision to an existing feature of the application;

identify a client device that renders the application by processing the usage pattern signal based on the organizational rule; and

include the client device in the target audience.

16. The system of claim 15, wherein the organizational rule includes on a comparison of a number of interactions of a user of the client device with the existing feature to an interaction threshold.

17. The system of claim 15, wherein the organizational rule describes a gradual deployment of the revision to the existing feature of the application to the client device that renders the application.

18. A hosted service to optimize feature deployment based on a usage pattern, the hosted service executing on a server comprising a memory storing instruction and a processor executing the hosted service in conjunction with the instructions stored in the memory, the hosted service comprising:

an inference module configured to;

detect a feature update associated with an application;

receive a usage pattern signal that matches information associated with the feature update upon querying a usage pattern source;

receive an organizational rule that matches information associated with the feature update upon querying an organizational rule source;

identify a target audience for the feature update by processing the usage pattern signal based on information and the organizational rule associated with the feature update; and

a deployment module configured to;

deploy the feature update to the target audience.

19. The hosted service of claim 18, wherein the inference module is further configured to:

determine the feature update as a new feature of the application;

identify a client device of that renders the application by processing the usage pattern signal based on the organizational rule by comparing a number of interactions of a user of the client device with the application during a time-period to an interaction threshold; and

include the client device in the target audience.

20. The hosted service of claim 18, wherein the inference module is further configured to:

determine the feature update as a repair for an error in an existing feature of the application;

identify a client device that renders the application by processing the usage pattern signal based on the organizational rule wherein the organizational rule describes a gradual deployment of the repair for the error in the existing feature of the application to the client device that renders the application; and

include the client device in the target audience.