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+1
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+Unfortunately, extracting requirements from these sources is not
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+2
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+a straightforward task, as there are many issues involved
+
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+with the requirements elicitation. One first problem is the
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+thin spread of domain knowledge. Knowledge is rarely available
+
+5
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+in an explicit form, that is, it is
+
+6
+00:00:15,970 --> 00:00:20,310
+almost never written down. Moreover, knowledge is often distributed
+
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+across many sources. For example, in the graphical depiction
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+8
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+here, to find out that this is the purpose
+
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+of the project. The developer, the analyist, needs to talk
+
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+to a lot of different people. And, to make things even
+
+11
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+worse. There are often conflicts between the knowledge gathered from
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+12
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+different sources. A second issue is the fact that the knowledge
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+is often tacit. What is also called the say, do
+
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+problem. In the example shown here. For instance. We have a
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+customer that is describing to the analyst. The way in which
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+he accomplishes a task. So it performs these three steps and
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+reaches the goal. Whereas in practice, the actual way in
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+which this task accomplished is by going through a larger number
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+of steps to get to the same goal. So the point
+
+20
+00:00:59,880 --> 00:01:02,650
+here is that, even if the knowledge were more concentrated, so
+
+21
+00:01:02,650 --> 00:01:05,660
+not as spread as in this example. People simply find
+
+22
+00:01:05,660 --> 00:01:08,680
+it hard to describe knowledge that they regularly use. So it
+
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+00:01:08,680 --> 00:01:11,740
+is hard to make this knowledge explicit, to pass this knowledge
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+to someone else. Yet another
+
+25
+00:01:13,130 --> 00:01:16,690
+problem is limited observability. Identifying requirements
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+through observation is often difficult as the problem owners might be
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+too busy to perform the task that we need to observe.
+
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+Or they might be doing a lot of other things together
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+with the task that we need to observe, so that becomes
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+confusing. That introduces noise. Moreover, even when this is not the
+
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+case, the presence of an observer might change their problem. It
+
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+is very typical for human subjects to improve or modify an
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+aspect of their behavior, which is being experimentally measured in response
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+to the fact that they know that they're being studied. You know
+
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+that somebody's studying you and you change the way in which you behave.
+
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+A typical issue. Finally, the information that we collect might be biased.
+
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+For several reasons. People might not feel free to tell you what you
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+need to know. Or, people might not want to tell you what
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+you need to know. For example, in all the common cases in which
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+the outcome might effect them, people might provide you a different picture
+
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+from the real one. In order to influence you. So, they might have
+
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+a hidden agenda, and mislead you, either
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+consciously or unconsciously. So, all these issues
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+add to the complexity of collecting requirements,
+
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+of identifying the purpose of a system.