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-We will start our discussion about test written and development by going

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-back to a softer life cycle to examine a little bit ago

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-which is the waterfall life cycle. And if you remember, that was

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-a totally rigid process in which we were preparing documents and we

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-were not studying any phase before the previous one was finished. And

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-once a phase was finished, we were really going back to it.

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-So today we are going to examine how it is possible to go

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-from such a rigid process to an agile one, in which we can

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-better deal with changes. So remember what we saw in the

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-first lesson when Barry Boehm stated that the cost of change

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-grows exponentially with time. So if we imagine to have time

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-over here on the x-axis and cost on the y-axis, we

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-can see the cost that will go up more or less

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-this way. And what that means is finding a problem while

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-collecting requirements will cost you much less than finding a problem

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-in the analysis phase, which in turn, will cost you less

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-than finding a problem during design, and so on for

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-the subsequent phases. So if this is the case, and cost

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-is really growing this fast as we proceed in our process,

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-what should we do? The key thing is to discover errors

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-early before they become expensive, which in turn means doing a

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-lot of upfront planning. And because models are cheaper to modify

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-in code, we're willing to make large investments in upfront analysis

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-and design models. And only after we have built and checked

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-these models, we're going to go ahead and build the code. In

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-other words, we are following

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-a waterfall mentality. However, something definitely

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-changed in the last 30 years. For example, 30 years ago,

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-we needed to walk down the hall, submit a deck of

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-cards to an operator, and wait a day for our program

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-to run and produce some results. Today we can leverage the

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-computational power of the cloud. Computers used to be very slow

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-and very expensive. Today, computer are a thousand times faster and

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-a thousand times cheaper than what they used to be. In

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-particular, if you think about the compile and test cycle, that has

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-gone from days to seconds. Now we can change our code, compile

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-it, run it our tests, all in a matter of instants, something

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-that was unthinkable before. Finally, developers in the past had to

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-do a lot of tasks manually in a very time-consuming way and

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-often in a very painful way. Today, on the contrary, we can

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-now automate a lot of these tasks. We have high level programming

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-languages, version control systems, smart ideas. Basically a whole set of tools

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-that can help developers. And they can make them more efficient. In

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-general, what that means is, it's easy to change, much easier than

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-what it was before. So maybe if we take all that into account,

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-the cost of change can be flat. So if we go back

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-to our diagram, the one in which we showed the cost with

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-respect to the project time, maybe instead of having this kind of

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-curve, we might have a different kind of curve. Maybe the curve is

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-more like this one. So maybe we can make all of this happen, as long as

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-we use tools, practices and principles in the

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-right way. And we're going to see what that means.