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The most obvious limitation of using regression equations to estimate project work effort and duration is that the equations fail to address many specific project attributes that are known to impact work effort and duration Although the provision of separate sets of regression equations for different development platforms improves this situation, the project delivery rate for an application developed using Lotus Notes is still likely to differ significantly from one developed using Java, even when they are both developed for the same midrange platform A further limitation of the regression equations as they were presented in the previous section is that they only provide a single value for each of the project estimates when, in many cases, a range of values would be more useful Having a range of estimate values allows the project manager to consider both optimistic and conservative as well as likely estimates when devising or validating the project schedule and budget The estimating by comparison technique presented here addresses both these limitations of regression equation based estimating by considering various specific project attributes and by generating a range of values for each of the project estimates

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Figure 1-9

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to the right that forms a right triangle PQR, as shown in Fig 1-9 Imagine a movable point M that we can slide freely along line segment PQ When we draw a perpendicular from M to side QR, we get a point Mx When we draw a perpendicular from M to side RP, we get a point My Consider the three right triangles MQMx, PMMy, and PQR The laws of basic geometry tell us that these triangles are similar, meaning that the lengths of their corresponding sides are in the same ratios According to the definition of similarity for triangles, we know the following two facts: Point Mx is midway between Q and R if and only if M is midway between P and Q Point My is midway between R and P if and only if M is midway between P and Q Now, instead of saying that M stands for movable point, let s say that M stands for midpoint In this case, the x value of Mx (the midpoint of line segment QR) must be the x value of M, and the y value of My (the midpoint of line segment RP) must be the y value of M

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The general formula We ve reduced our Cartesian two-space midpoint problem to two separate number-line midpoint problems Side QR of triangle PQR is parallel to the x axis, and side RP of triangle PQR is parallel to the y axis We can find the x value of Mx by averaging the x values of Q and R When we do this and call the result xm, we get

Copy B11 from B12 to about B20 Hopefully, you can see the sales for each category Experiment with the Year filter My result is shown in Figure 12-32 Instead of a Report Filter on Year, you may prefer to use the Year slicer It s also probably overkill to have Year in both a Report Filter and a slicer, as here If you do reference the slicer, the formula for B11 might look like this:

13:

xm = (xp + xq)/2

In the same way, we can calculate the y value of My by averaging the y values of R and P Calling the result ym, we have ym = (yp + yq)/2 We can use the mini theorem we finished a few moments ago to conclude that the coordinates of point M, the midpoint of line segment PQ, are (xm,ym) = [(xp + xq)/2,(yp + yq)/2]

=IFERROR(CUBEVALUE("PowerPivot Data",$A11,Slicer_Year,$C$9),"")

The estimating by comparison technique begins by calculating optimistic, likely, and conservative project delivery rate and speed of delivery values for selections of projects from the ISBSG Repository that match the target project on a single attribute The averages of the project delivery rates and speeds of delivery for all the selections are then calculated, and these values are combined with the target project s functional size to generate optimistic, likely, and conservative estimates for the target project s work effort and duration The estimating by comparison technique is described in detail in the following section

An example Let s find the coordinates (xm,ym) of the midpoint M between the same two points for which we found the separation distance earlier in this chapter:

P = ( 5, 2) and Q = (7,3) When we plug xp = 5, yp = 2, xq = 7, and yq = 3 into the midpoint formula, we get (xm,ym) = [(xp + xq)/2,(yp + yq)/2] = [( 5 + 7)/2,( 2 + 3)/2] = (2/2,1/2) = (1,1/2)

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