US 2024/0403204 A1 · ARTIFICIAL INTELLIGENCE-BASED AUTONOMOUS CONTINUOUS TESTING PLATFORM

Abstract

Obtaining a configuration hook. Obtaining a base configuration of a remote system using the configuration hook. Obtaining a system-specific model associated with the configuration hook and the remote system. Obtaining one or more pre-built test accelerators. Obtaining a deep machine learning model. Generating, based on the base configuration, the system-specific model, the one or more pre-built test accelerators and the deep machine learning model, a custom configuration model. Generating a plurality of user journeys to be autonomously tested. Generating, based on the custom configuration model and the plurality of user journeys to be autonomously tested, a plurality of autonomous test scripts. Autonomously pre-configuring at run-time the plurality of autonomous test scripts. Autonomously executing the plurality of autonomous test scripts. Generating, based on the autonomously executed plurality of autonomous test scripts, one or more autonomous test reports. Presenting the one or more autonomous test reports.

Claims20

Dependent claims

A system comprising:

one or more processors;
and
memory storing instructions that, when executed by the one or more processors, cause the system to perform:
obtaining a configuration hook;
obtaining a base configuration of a remote system using the configuration hook;
obtaining a system-specific model associated with the configuration hook and the remote system, the system-specific model being specific to the remote system;
obtaining one or more pre-built test accelerators;
obtaining a machine learning model;
generating, based on the base configuration, the system-specific model associated with the configuration hook and the remote system, the one or more pre-built test accelerators, and the machine learning model, a custom configuration model;
generating, based on the custom configuration model, a plurality of autonomous test scripts;
autonomously executing the plurality of autonomous test scripts;
generating, based on the autonomously executed plurality of autonomous test scripts, one or more autonomous test reports;
presenting the one or more autonomous test reports.

10 more elements

A method implemented by a computing system including one or more processors and storage media storing machine-readable instructions, wherein the method is performed using the one or more processors, the method comprising:

obtaining a configuration hook;
obtaining a base configuration of a remote system using the configuration hook;
obtaining a system-specific model associated with the configuration hook and the remote system, the system-specific model being specific to the remote system;
obtaining one or more pre-built test accelerators;
obtaining a machine learning model;
generating, based on the base configuration, the system-specific model associated with the configuration hook and the remote system, the one or more pre-built test accelerators, and the machine learning model, a custom configuration model;
generating, based on the custom configuration model, a plurality of autonomous test scripts;
autonomously executing the plurality of autonomous test scripts;
generating, based on the autonomously executed plurality of autonomous test scripts, one or more autonomous test reports;
presenting the one or more autonomous test reports.

7 more elements

Dependencies are inferred from the claim text.

Artificial intelligence-based autonomous continuous testing platform

Life of this patent

Artificial intelligence-based autonomous continuous testing platform

Life of this patent

Abstract

Claims20