System and methods for amalgamation of artificial intelligence (AI) and machine learning (ML) in test creation, execution, and prediction
Abstract:
Systems and methods provided for a software test automation platform including an artificial intelligence (AO/machine learning (ML) test analyzer. The AI/ML test analyzer can be a computer device operating with the software testing automation platform that is programmed to obtain run-time data from executing multiple software test cases for a software workload; obtain log data from the one or more test logs, relating to previous executions of the tests cases for the software workload. The AI/ML test analyzer can then analyze the log data and the run-time data by applying ML/AI tools, concurrently with executing the test cases, for recognizing patterns associated with the executed tests cases over a period of time, and automatically predicting an optimized set of test cases and analytics related to execution of the test cases for the software workload.
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