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Metadata Capture for Automated Visual Testing

IP.com Disclosure Number: IPCOM000246960D
Publication Date: 2016-Jul-19
Document File: 4 page(s) / 60K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system for accurately detecting difference in panels/images/snapshots in the GUI (Graphical User Interface) versions for dynamic/static regions using object level GUI comparison in automated testing.

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This is the abbreviated version, containing approximately 82% of the total text.

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Metadata Capture for Automated Visual Testing

More specifically, the invention references disclosing the following features:

Capturing snapshots with object attributes to analyze baseline GUI and the future GUI versions, identify unwanted regions/objects (such as

logs), collect and store object attributes (e.g., in associated files or header/metadata image) to identify/flag objects/regions (dynamic /static)

to be ignored;

Decomposing the un-flagged frame objects/regions of the baseline GUI and the future GUI into small images at object level; and

Comparing images of baseline GUI and the future GUI versions to identify difference in panels/images/snapshots of the GUI versions.

Figure 1: Compare in Object Level workflow

Figure 1: Compare in Object Level workflow

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Figure 2: Object based GUI comparison

Figure 2: Object based GUI comparison

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There are known solutions with masks for static regions, which size does not change within GUI. This invention goes beyond thelimitation, which also works will for those dynamic region that may have size changes. Since the invention monitors all except the select area/objects, any additional or moved area/objects will be detected in the next version.

With content texts stores in metadata/header of file or in associated file, test team could easily allocate a image file with text search. This creating a more accurate search result than using Optical Character Recognition (OCR) to search image text conte...