Wipro Limited
SYSTEM AND METHOD FOR IDENTIFICATION OF APPROPRIATE TEST CASES USING ARTIFICIAL INTELLIGENCE FOR SOFTWARE TESTING

Abstract:

A method and a system of selecting test cases from existing test cases for a new software testing requirement are disclosed. In an embodiment, the method may include determining a confidence score associated with each of existing test cases, based on comparing a new software testing requirement with the existing test cases using a Recurrent Neural Network (RNN) model, and selecting a set of test cases from the existing test cases based on the confidence score and a predetermined threshold confidence score. The method may further include predicting a defect slippage rate associated with each test case using a linear regression model, and shortlisting a sub-set of test cases from the set of test cases based on the predicted defect slippage rate associated with each test case and a predetermined threshold defect slippage rate.