Automated and adaptive validation of a user interface

A method, comprising:

• at a computing platform comprising at least one processor, and memory:
• extracting, from a webpage, one or more components of the webpage;
• generating, from the webpage and for a component of the one or more components, a reference comprising a unique identifier associated with the component;
• determining, for the component, one or more attributes and one or more rules;
• associating, by applying a clustering algorithm and based on the reference, the one or more attributes and the one or more rules, the component with a cluster of a plurality of clusters;
• retrieving, from a database and for the cluster of the plurality of clusters, a master test script;
• generating, from the master test script and based on the one or more attributes and the one or more rules, a test script for execution;
• running, for the webpage, the test script to validate the component;
• and
• triggering, based on a determination whether the test script is successful, one or more recommendations associated with the component of the webpage, wherein the one or more recommendations associated with the component of the webpage include a recommendation for a threshold number of attempts to execute a failed test script and wherein the threshold is based on a type of component of the component of the one or more components.

One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, at least one physical sensor communicatively coupled to the at least one processor, and memory, cause the computing platform to:

• retrieve, from a database and based on a request to validate a user interface, one or more components associated with the user interface;
• determine, for a component of the one or more components, one or more attributes and one or more rules;
• determine, for the component of the one or more components, a reference comprising a unique identifier associated with the component;
• associate, by applying a machine learning model and based on the reference, the one or more attributes and the one or more rules, the component with a cluster of a plurality of clusters;
• retrieve, from the database and for the cluster of the plurality of clusters, a master test script;
• generate, from the master test script and based on the one or more attributes and the one or more rules, a test script for execution;
• run, for the user interface, the test script to validate the component;
• and
• trigger, based on a determination whether the test script is successful, one or more recommendations associated with the component of the user interface, wherein the one or more recommendations associated with the component of the user interface include a recommendation for a threshold number of attempts to execute a failed test script and wherein the threshold is based on a type of component of the component of the one or more components.