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-So then maybe what we can do is just to

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-2

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-pick our test inputs randomly so to do what is called

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-random testing. And what that means is that we pick the

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-inputs to test just as we pick a number by rolling

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-5

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-a set of dice randomly. And this will have several advantages.

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-First, we will pick inputs uniformly. So if we use a

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-uniform distribution as the basis for our random testing, we will

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-make no preferences. In other words, all inputs will be considered

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-9

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-equal, of equal value. And what that means in turn, is

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-10

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-that random testing eliminates designer bias. So what does designer bias

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-11

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-mean? Designer bias is the problem of making the same assumption,

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-12

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-when we read the specification and we interpret it and when we

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-develop test cases. Which means that the developer might develop code,

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-assuming a given behavior of the user. And we may write

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-15

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-tests, making the same assumptions. And the problem, of course, is

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-even worse if it's the same person that develops the code and

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-writes the test cases. With random testing, the problem is gone,

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-18

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-because we just pick randomly what our inputs will be. So

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-why not do in random? The problem is that when testing,

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-we are looking for a needle in a haystack. Actually, multiple

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-21

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-needles in multiple haystacks, if we want to be precise. So,

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-random approaches are not necessarily the best way to go about

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-23

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-it, because we might just be looking in all the wrong

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-24

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-places. So let me show you this, using a different representation

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-25

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-for the haystack. What I'm showing here is a grid, and

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-26

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-imagine this grid just expanding indefinitely outside the screen, and this grid

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-represents the domain for the program, so each box in the grid,

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-each square in the grid, it's a possible input. So what happens

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-with bugs is that bugs are very scarce in this grid. Maybe

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-there is a bug here, so that means that there is a

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-bug, than an input, in this point we'll reveal. And maybe there

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-is another bug that will be triggered by an input over here.

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-33

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-So imagine this spread out over this infinite grid. Its very unlikely

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-that just by picking randomly that we will be able to get to

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-35

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-these two points. Fortunately not all is lost, there is a silver lining.

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-36

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-So we need to look a little more in depth into this grid.