Transform SR Brands has patented a method for testing software systems by evaluating performance ratings of app features through video analysis of user interfaces. The technique involves comparing visual changes over time in different mobile applications to assess metrics like pixel changes and user interest based on heat maps. GlobalData’s report on Transform SR Brands gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Transform SR Brands, Personalized content delivery was a key innovation area identified from patents. Transform SR Brands's grant share as of February 2024 was 86%. Grant share is based on the ratio of number of grants to total number of patents.
Software performance evaluation using video analysis of user interfaces
A recently granted patent (Publication Number: US11914502B2) outlines a computer-implemented method for testing software, specifically mobile device applications. The method involves detecting visual changes over time in two different applications while specific features are executed, comparing these changes, and evaluating metrics associated with each application. These metrics are based on changes in pixels of the user interface, with certain pixels weighted differently based on user interest, as indicated by a heat map derived from user interactions like clicks or eye tracking.
Furthermore, the patent describes a system for testing applications, including a test computer server, video analysis server, and two mobile device applications. The system's test script detects visual changes over time in the applications, compares them, and evaluates metrics based on pixel changes in the user interface. This system aims to generate performance ratings, such as visual speed ratings, by analyzing human visual perception of changes over time in the video being tested. The method and system outlined in the patent provide a comprehensive approach to software testing, focusing on visual changes and user interface metrics to assess application performance accurately.
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