Data-driven testing (DDT), also known as table-driven testing or parameterized testing, is a software testing technique that uses a table of data that directs test execution by encoding input, expected output and test-environment settings. One advantage of DDT over other testing techniques is relative ease to cover an additional test case for the system under test by adding a line to a table instead of having to modify test source code.