| CPC G06N 20/00 (2019.01) [G06F 16/2379 (2019.01); G06F 16/252 (2019.01); G06N 5/04 (2013.01)] | 19 Claims |
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1. A computing platform, comprising:
at least one processor;
a communication interface communicatively coupled to the at least one processor; and
memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:
generate input test data comprising automatic learning engine suggested input and a number of regression test cases based on a specified networked service to be tested, wherein the input test data comprises values defining one or more input scenario names, corresponding dynamic inputs and expected outputs in a defined custom header and wherein inputs are minimized based on a selected set of test cases;
generate, by a smart assembler module, a minimally sized test execution pattern from the input test data based on validation of paths within the input test data;
execute, by an intelligent test engine, functional testing of a networked service application by a regression based machine learning algorithm using the number of regression test cases and the test execution pattern;
log functional test data, from the intelligent test engine during functional testing of the networked service application, in a data repository;
cause display, at a user device, of a comparison of expected output data and actual output data and based on the functional test data in the data repository; and
process, by the automatic learning engine, the functional test data, results from the functional testing, and the number of regression test cases; and
generate, by the automatic learning engine, an update to a data store comprising suggested input for the number of regression test cases.
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