In the first half of this year, our company started developing a solution to increase testing efficiency. The system aims to significantly reduce unnecessary tester resource consumption and the operational risks after deploying the system by measuring and monitoring source code coverage through test executions, and by optimizing the execution of test cases. The integrated artificial intelligence continuously tracks the testing paths covered, code changes, and the quality attributes of the source code, and reprioritizes the test cases to be executed in real time based on this information. The solution under development will provide the greatest value to companies and institutions that commission large amounts of custom development. The development is expected to be launched on the market by the end of 2022.