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Data-Driven Testing (DDT) is a testing technique in software testing processes that evaluates the consistency of software behavior under various conditions by executing test scenarios with different data inputs. This approach enhances repeatability by enabling test automation, simplifies test maintenance, and systematically analyzes how the system behaves across diverse data scenarios. Objectives of Data-Driven Testing The primary objectives of data-driven testing extend beyond merely repeating