Generative pre-training transformed (gpt) based creation of automated script for application testing

A system comprising:

• at least one processor;
• and
• at least one memory including instructions which when executed by the at least one processor causes operations comprising:
• receiving, at an orchestrating model and from a user via a user interface, a request to create a test script for automated testing of an application of a plurality of applications, the request comprising an application tag identifying the application;
• sending, via the orchestrating model, the application tag to an application function processor, an object repository, and a test data container, wherein the application function processor is in communication with a machine learning model trained on at least one database containing one or more functions providing one or more workflows for at least the application;
• determining, via the application function processor, a first suggested step for the test script, the first suggested step for the test script being a step of a workflow for the application obtained from the machine learning model;
• determining, via the orchestrating model, a first user interface control from a plurality of user interface controls stored within the object repository, and at least a first datum to be entered into a first input field, wherein the first user interface control is associated with a user interface location;
• and
• providing, by the orchestrating model and to the user interface, the first suggested step for the test script and a first locator associated with the first user interface control and entering at least the first datum into the first input field.

A non-transitory computer-storage medium including instructions which when executed by at least one processor causes operations comprising:

• receiving, at an orchestrating model and from a user via a user interface, a request to create a test script for automated testing of an application of a plurality of applications, the request comprising an application tag identifying the application;
• sending, via the orchestrating model, the application tag to an application function processor, an object repository, and a test data container, wherein the application function processor is in communication with a machine learning model trained on at least one database containing one or more functions providing one or more workflows for at least the application;
• determining, via the application function processor, a first suggested step for the test script, the first suggested step for the test script being a step of a workflow for the application obtained from the machine learning model;
• determining, via the orchestrating model, a first user interface control from a plurality of user interface controls stored within the object repository, and at least a first datum to be entered into a first input field, wherein the first user interface control is associated with a user interface location;
• and
• providing, by the orchestrating model and to the user interface, the first suggested step for the test script and a first locator associated with the first user interface control and entering at least the first datum into the first input field.