Invention Grant
- Patent Title: System and methods for amalgamation of artificial intelligence (AI) and machine learning (ML) in test creation, execution, and prediction
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Application No.: US16820615Application Date: 2020-03-16
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Publication No.: US11221942B2Publication Date: 2022-01-11
- Inventor: Pavan Sridhar , Deepak Panambur , Rohith Panambur
- Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Applicant Address: US TX Houston
- Assignee: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Current Assignee: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Current Assignee Address: US TX Houston
- Agency: Jaffery Watson Mendonsa & Hamilton
- Priority: IN201941016555 20190425
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F11/36 ; G06F11/34 ; G06N20/00

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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