automates the process of generating test cases for cp. It takes input data, specified constraints, and test case conditions, and produces a set of test cases that exercise different paths and functions of the software application under test.
Explore the use of machine learning algorithms to analyze and optimize test case generation based on historical data. This involves developing models to predict effective test cases or improve the efficiency of the generation process.
Explore the use of machine learning algorithms to analyze and optimize test case generation based on historical data. This involves developing models to predict effective test cases or improve the efficiency of the generation process.