Assigning blame to web browser extensions and applications

• US 8,386,604 B1
• Filed: 09/30/2011
• Issued: 02/26/2013
• Est. Priority Date: 09/30/2011
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Kay, Erik, Perry, Matthew, Eisinger, Jochen
• Primary Examiner(s): SHINGLES, KRISTIE D
• Application Number:
  US13/251,033
• Time in Patent Office: 515 Days
• Field of Search: 709/223, 709/224, 709/202
• US Class Current: 709/224
• CPC Class Codes: G06F 11/0751 Error or fault detection not based on redundancy power supply failures G06F1/30; network fault management H04L41/06
• CPC Class Codes: G06F 11/3006 where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems multiprogramming arrangements G06F9/46; allocation of resources G06F9/50
• CPC Class Codes: G06F 11/302 where the computing system component is a software system
• CPC Class Codes: G06F 11/3082 the data filtering being achieved by aggregating or compressing the monitored data
• CPC Class Codes: G06F 11/327 Alarm or error message display
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 2201/865 Monitoring of software

Abstract

According to one general aspect, a method of assigning blame to web browser extensions and applications is described. The method gathers performance data about a web application, detects a problem with the web application based on the performance data, and displays, when the problem is detected, an indication of the problem adjacent an indicator representing the web application.

Claims

1. A computer-implemented method for assigning blame to performance of web browser extensions within a web browser, comprising:

gathering performance data about an installed web browser extension from multiple clients, wherein the performance data is based on multiple performance factors;

detecting a problem with the web browser extension based on the performance data;

displaying within the web browser, when the problem is detected, an indication of the problem adjacent an indicator representing the web browser extension;

applying a performance metric to assign a blame score to the web browser extension; and

selecting the indication of the problem based on the blame score.

2. The computer-implemented method of claim 1, wherein the detected problem is at least one of a Wi-Fi connection problem, a slow ISP, and a network problem, and wherein the indication represents the detected problem.

3. The computer-implemented method of claim 1, wherein the indication of the problem is displayed in a digital marketplace.

4. The computer-implemented method of claim 1, wherein the performance data is gathered from web browsers that previously executed the web browser extension.

5. The computer-implemented method of claim 1, further comprising:

receiving a request to analyze the web browser extension.

6. The computer-implemented method of claim 1, wherein the multiple performance factors include:

web browser execution time, memory usage, and battery life.

7. A computer-implemented method for determining performance problems for web browser extensions within a web browser, comprising:

determining a performance issue with a first web browser extension while multiple web browser extensions are installed in and executing on a web browser, wherein the performance issue is determined based on multiple performance factors;

upon determining the performance issue, displaying within the web browser an indicator representing the performance issue adjacent another indicator representing the first web browser extension;

applying a performance metric to assign a blame score to the web browser extension; and

selecting the indication of the problem based on the blame score.

8. The computer-implemented method of claim 7, wherein the determining is based on a database of aggregated web browser extension performance data collected from multiple web browsers.

9. The computer-implemented method of claim 8, wherein the indicator is displayed within one of:

a toolbar, a menu, and a pop-up window.

10. The computer-implemented method of claim 8, further comprising:

reporting the performance issue to clients that have downloaded the first web browser extension.

11. The computer-implemented method of claim 8, wherein the indicator includes a notification with potential solutions to the problem.

12. The computer-implemented method of claim 8, wherein the indicator is displayed in a digital marketplace.

13. The computer-implemented method of claim 8, wherein the indicator is selected based on an analysis of the multiple performance factors.

14. The computer-implemented method of claim 8, wherein the performance issue is unrelated to the first web browser extension.

15. The computer-implemented method of claim 8, wherein the multiple performance factors include:

web browser run times, memory usage of a computing device of the client, and battery life of the computing device.

16. The computer-implemented method of claim 8, further comprising:

comparing the multiple performance factors with a set of analyzed performance factors for a second web browser extension; and

ranking the first web browser extension and the second web browser extension based on the comparison.

17. The computer-implemented method of claim 8, wherein determining the performance issue includes:

analyzing information provided by the client.

18. The computer-implemented method of claim 8, further comprising:

reporting the performance issue to clients that have downloaded the first web browser extension.

19. A non-transitory computer-readable storage medium for determining performance problems for web browser extensions installed within a web browser, having recorded and stored thereon instructions that, when executed by a processor of a computer system cause the computer system to:

gather performance data about a web browser extension, wherein the performance data is based on multiple performance factors;

detect a problem with the web browser extension based on the performance data;

display within the web browser, when the problem is detected, an indication of the problem adjacent an indicator representing the web browser extension;

applying a performance metric to assign a blame score to the web browser extension; and

selecting the indication of the problem based on the blame score.

20. A system to assign blame to performance of web browser extensions installed within a web browser, comprising:

a memory configured to store executable code; and

a processor operably coupled to the memory, the processor configured to execute the code to;

gather performance data about a web browser extension, wherein the performance data is based on multiple performance factors;

detect a problem with the web browser extension based on the performance data;

display within the web browser, when the problem is detected, an indication of the problem adjacent an indicator representing the web browser extension;

applying a performance metric to assign a blame score to the web browser extension; and

selecting the indication of the problem based on the blame score.