Intelligent dynamic web service testing apparatus in a continuous integration and delivery environment

A method comprising:

• at a computing platform comprising at least one processor, a communication interface, and memory:
• receiving, via the communication interface, from a web service computing platform, a historical data set comprising data relating to a web service application;
• receiving, via the communication interface, a first test code request from a developer computing platform, wherein the first test code request includes a first set of test code parameters;
• creating a training data set based on the historical data set, wherein the training data set includes one or more components specific to the first set of test code parameters;
• configuring a first test data set from the training data set based on the first test code request;
• causing a first test to be executed based on the first test data set;
• receiving, via the communication interface, a first set of test code execution results, wherein the first set of test code execution results includes results from execution of a test code pursuant to the first test code request using the first set of test code parameters and the first test data set;
• and
• using an AI engine to modify the training data set based on the first set of test code execution results, wherein the AI engine produces a modified training data set configured to be inputted during execution of a subsequent test.

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

• receive, via the communication interface, from a web service computing platform, a historical data set comprising data relating to a web service application;
• create a training data set based on the historical data set, wherein the training data set includes one or more components specific to a type of deployment environment and to a web service application;
• receive, via the communication interface, a first test code request from a developer computing platform, wherein the first test code request includes a first set of test code parameters;
• configure a first test data set from the training data set based on the first test code request;
• cause a first test to be executed based on the first test data set;
• receive a first set of test code execution results, wherein the first set of test code execution results includes results from execution of a test code pursuant to the first test code request using the first set of test code parameters and the first test data set;
• use an AI engine to modify the training data set based on the first set of test code execution results, wherein the AI engine produces a modified training data set;
• receive, via the communication interface, a second test code request from the developer computing platform, wherein the second test code request includes a second set of test code parameters;
• in response to receiving the second test code request, configure a second test data set based on the modified training data set;
• and
• cause a second test to be executed based on the second test data set.