Method and system for webpage regression testing

• US 8,682,083 B2
• Filed: 06/30/2011
• Issued: 03/25/2014
• Est. Priority Date: 06/30/2011
• Status: Expired due to Fees

• Current Assignee: Liberty Peak Ventures, LLC (Dominion Harbor Enterprises, LLC)
• Original Assignee: American Express Travel Related Services Company, Inc. (American Express Company)
• Inventors: Narsipur, Keshav A., Kumar, Krishna Bihari, Greiner, Hans-Jurgen
• Primary Examiner(s): Koziol, Stephen R
• Assistant Examiner(s): Lee, Jonathan S
• Application Number:
  US13/173,132
• Publication Number:
  US 20130004087A1
• Time in Patent Office: 999 Days
• Field of Search: None
• US Class Current: 382/218
• CPC Class Codes: G06F 11/3688 for test execution, e.g. scheduling of test suites
• CPC Class Codes: G06V 10/751 Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching

Abstract

A regression testing system comprises an automatic test tool configured to capture a first web screen shot and a second web screen shot of a webpage, where the webpage has undergone an update or edit. The regression testing system also comprises a visual comparator configured to identify similar areas in the first web screen shot and the second web screen shot. The visual comparator receives, and compares characteristics of, the web screen shots. Furthermore, the regression testing system generates a report with marked different characteristics between the first and second web screen shots. The regression testing system identifies similar areas in the first and second web screen shots shot even if the similar areas are at different locations within the web screen shots. The comparison performed by the visual comparator includes performing a pixel comparison combined with a marking algorithm to group differences in smaller, related but separate areas.

Claims

1. A method comprising:

capturing, by a computer-based system for webpage regression testing, a first web screen shot of a webpage;

implementing, by the computer-based system, a webpage update to the webpage;

capturing, by the computer-based system, a second web screen shot of the webpage;

receiving, by the computer-based system, the first web screen shot and the second web screen shot;

comparing, by the computer-based system, characteristics of the first web screen shot and the second web screen shot;

marking, by the computer-based system, different characteristics between the first web screen shot and the second web screen shot;

generating, by the computer-based system, a report of the marked different characteristics between the first web screen shot and the second web screen shot; and

providing, by the computer-based system and based on the comparing characteristics of the first web screen shot and the second web screen shot, suggestions of image area relocation in order to increase matching of the first web screen shot and the second web screen shot.

2. The method of claim 1, wherein the comparing the first web screen shot and the second web screen shot comprises comparing visual changes occurring after the webpage update.

3. The method of claim 1, further comprising configuring parameters to optimize performance of the computer-based system.

4. The method of claim 1, wherein a commercial off the shelf (COTS) software program is to capture the first and second web screen shot of the webpage.

5. The method of claim 1, further comprising:

comparing a first rectangular area of the first web screen shot to a second rectangular area of the second web screen shot; and

comparison shifting the first rectangular area and the second rectangular area and determining a percentage difference.

6. The method of claim 5, further comprising:

determining the rectangular size of the first rectangular area and the second rectangular area, wherein the determining the rectangular size comprises;

performing a pixel-to-pixel comparison of the first web screen shot to the second web screen shot; and

forming a rectangular size around a grouping of pixel discrepancies.

7. The method of claim 6, further comprising:

performing iterations of the comparison shifting of the first rectangular area and the second rectangular area until a match is made; and

marking the differences in the second web screen shot for rectangular areas for which a match is not found.

8. The method of claim 1, wherein the computer-based system comprises a visual comparator which is a Java application programming interface (API).

9. The method of claim 1, wherein the characteristics of the web screen shot are at least one of color, element positioning, and content.

10. The method of claim 1, wherein the report is generated in Hyper Text Markup Language (HTML).

11. A regression testing system comprising:

a processor for webpage regression testing,

a tangible, non-transitory memory configured to communicate with the processor,

the tangible, non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations comprising;

capturing, by the processor, a first web screen shot of a webpage;

implementing, by the processor, a webpage update to the webpage;

capturing, by the processor, a second web screen shot of the webpage;

receiving, by the processor, the first web screen shot and the second web screen shot;

comparing, by the processor, characteristics of the first web screen shot and the second web screen shot;

marking, by the processor, different characteristics between the first web screen shot and the second web screen shot; and

generating, by the processor, a report of the marked different characteristics between the first web screen shot and the second web screen shot; and

providing, by the processor and based on the comparing characteristics of the first web screen shot and the second web screen shot, suggestions of image area relocation in order to increase matching of the first web screen shot and the second web screen shot.

12. The regression testing system of claim 11, wherein the comparison comprises performing a pixel comparison combined with a marking algorithm to group differences in smaller, related but separate areas.

13. The regression testing system of claim 11, further comprising identifying similar areas in the first web screen shot and the second web screen shot even if the similar areas are at different locations within the web screen shots.

14. The regression testing system of claim 11, wherein the characteristics of the web screen shot are at least one of color, element positioning, and content.

15. The regression testing system of claim 11, wherein the report is generated in Hyper Text Markup Language (HTML).

16. The regression testing system of claim 11, further comprising comparing a first rectangular area of the first web screen shot to a second rectangular area of the second web screen shot;

and comparison shifting the first rectangular area and the second rectangular area and determining a percentage difference.

17. The regression testing system of claim 16, further comprising determining the rectangular size of the first rectangular area and the second rectangular area, wherein the determining the rectangular size comprises performing a pixel-to-pixel comparison of the first web screen shot to the second web screen shot;

and forming a rectangular size around a grouping of pixel discrepancies.

18. A non-transitory computer program product having computer-executable instructions stored thereon that, if executed by a computer-based system for webpage regression testing, cause the computer-based system to perform operations comprising:

capturing, by the computer-based system, a first web screen shot of a webpage;

implementing, by the computer-based system, a webpage update to the webpage;

capturing, by the computer-based system, a second web screen shot of the webpage;

receiving, by the computer-based system, the first web screen shot and the second web screen shot;

comparing, by the computer-based system, characteristics of the first web screen shot and the second web screen shot;

marking, by the computer-based system, different characteristics between the first web screen shot and the second web screen shot; and

generating, by the computer-based system, a report of the marked different characteristics between the first web screen shot and the second web screen shot; and

providing, by the computer-based system and based on the comparing characteristics of the first web screen shot and the second web screen shot, suggestions of image area relocation in order to increase matching of the first web screen shot and the second web screen shot.