SAS Institute‘s patent involves a computing device selecting new test configurations for software testing. The process includes generating test configurations, executing software, and repeating steps based on distance metrics until a stop criterion is met. The invention aims to improve software testing efficiency and accuracy. GlobalData’s report on SAS Institute 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 SAS Institute, Facial recognition AI was a key innovation area identified from patents. SAS Institute's grant share as of January 2024 was 81%. Grant share is based on the ratio of number of grants to total number of patents.
Software testing using iterative test configuration generation
A recently granted patent (Publication Number: US11886329B2) discloses a computer-readable medium containing instructions that, when executed by a computing device, facilitate the automatic generation of test configurations for software testing. The method involves generating a first set of test configurations using a random seed value, executing the software under test with these configurations to generate results, and then generating a second set of configurations based on the results obtained. The process includes triggering a restart based on a distance metric value, selecting a new random seed value, and repeating the generation and execution steps until a stop criterion is met. The final output includes the test results for each configuration generated throughout the process.
Furthermore, the patent details additional features such as determining the importance of test parameters using a predictive model, utilizing Latin hypercube sampling for generating test configurations, employing a genetic algorithm to mutate configurations, and executing the software in parallel using multiple sessions with distributed test datasets. The method also involves generating a third set of configurations using a generating set search algorithm and computing a distance metric value based on a distance matrix. The restart process is triggered based on predefined threshold values, and the stop criterion is satisfied after a specified number of iterations. Overall, the patented method aims to streamline the software testing process by automating the generation of diverse test configurations and optimizing testing efficiency.
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