The Federal Home Loan Mortgage has been granted a patent for a computer-implemented method for automated software requirements testing. The method involves generating a tree graph model based on user-selected portions of previously-created models, creating test paths to uncover bugs, and sensitizing test paths for consistent performance. GlobalData’s report on Federal Home Loan Mortgage 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 Federal Home Loan Mortgage, Virtual banking assistant was a key innovation area identified from patents. Federal Home Loan Mortgage's grant share as of May 2024 was 93%. Grant share is based on the ratio of number of grants to total number of patents.
Automated software requirements testing and sensitization
A recently granted patent (Publication Number: US11983098B1) outlines a computer-implemented method for automated software requirements testing and sensitization to ensure consistent performance. The method involves retrieving modeling requirements of software specified as use cases for contract pricing, presenting models to the user, generating a tree graph model based on requirements and user selections, creating test paths to uncover bugs, and selecting test paths based on algorithms. The system then sensitizes the selected test path by inputting data values to simulate bug-free traversal and confirms expected outcomes.
Furthermore, the patent includes claims for a non-transitory computer-readable medium storing instructions for the automated software testing method and a computer-implemented system executing program instructions for the same purpose. These claims emphasize the importance of logical expressions, use cases, and program structures in the testing process. Additionally, the system is designed to verify complete path coverage for modeling requirements and store the tree graph model for configuration management. The method and system aim to enhance software testing efficiency and performance consistency through automated processes and sensitization techniques.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
