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-1

-00:00:00,190 --> 00:00:03,010

-Obviously there are many possible tests that we can use to

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-2

-00:00:03,010 --> 00:00:05,910

-reach 100% branch and condition coverage. So I'm just going to show a

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-3

-00:00:05,910 --> 00:00:08,740

-possible one, which is x equal to 3 and y is

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-4

-00:00:08,740 --> 00:00:11,410

-equal to negative 2. If we specify this as case, you can

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-5

-00:00:11,410 --> 00:00:14,900

-see that the overall condition is false, because neither x is

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-6

-00:00:14,900 --> 00:00:17,990

-equal to 0 nor y is greater than 0. Therefore we will

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-7

-00:00:17,990 --> 00:00:22,420

-follow the false, false branch, and achieve 100% branch and condition coverage

-

-8

-00:00:22,420 --> 00:00:25,400

-for this code. And we might require to be even more thorough,

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-9

-00:00:25,400 --> 00:00:28,690

-that all the combinations of our conditions inside each

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-10

-00:00:28,690 --> 00:00:31,790

-decision, inside each predicate, are tested. Which is what is

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-11

-00:00:31,790 --> 00:00:36,010

-called, multiple condition coverage. But because of the way

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-12

-00:00:36,010 --> 00:00:39,050

-this criterion is defined, it is combinatorial, becuse you have

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-13

-00:00:39,050 --> 00:00:42,220

-to consider all the possible combinations of conditions. And

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-14

-00:00:42,220 --> 00:00:45,210

-therefore it's extremely expensive, to the point of being impractical.

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-15

-00:00:45,210 --> 00:00:47,610

-So instead of defining that criterion, we're going to find

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-16

-00:00:47,610 --> 00:00:51,000

-another one which finds a good trade off between thoroughness

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-17

-00:00:51,000 --> 00:00:52,815

-of the tests and their cost.