Equivalence partitioning of input data is required to identify the sets of input data that provide an equivalent behavior of the AUT (application under test).
我们需要使用等值划分来区别输入的数据,它可以提供一个AUT(被测试的应用程序)的等价行为。
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For example, a machine can test whether a text equivalent is available for an image, but it cannot test the quality of the text or even determine whether the text is meaningless filler.
Then, in subsequent test runs, a human tester will not need to look at the text equivalent again unless the image or the text has changed since the last test run.