The role of data structures in test automation is crucial for maintaining a robust and efficient framework, particularly in the face of complex data and complex dependencies. Data structures like arrays, lists, and dictionaries are ideal tools for storing multiple sets of data, a practice known as data-driven testing. These structures can handle different inputs and expected outcomes in a clean and efficient manner, reducing redundancy in test scripts. For example, in Python, a list can store multiple user credentials for testing a login functionality.
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