Chapter 3 Parametric Estimating Flashcards

1
Q

Building a parametric model includes _________ , _________ , and ___________

A

collecting data, identifying cost drivers, and developing CERs.

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2
Q

What is the difference between cost passengers and cost drivers

A

Cost passengers are major system components that represent the majority of the system’s cost.
Cost drivers represent those design decisions and requirements at a system-level that truly influence the amount of money spent on an item

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3
Q

A _____ predicts cost via a simple multiplicative relationship. Which are always expressed in dollars per parameter.

A

rate

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4
Q

A ______ uses the cost of one element to predict the cost of another via a simple multiplicative relationship.

A

factor

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5
Q

A ______ estimates effort and is defined as parameter on parameter. For example, if a program plans to perform Commercial Off-The-Shelf (COTS) software integration within the software baseline, a good ______ to use is the industry average of 1,200 lines of code per integrated package.

A

Ratio

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6
Q

What are the five top-level steps to the regression process?

A

1.)Select the Variables: Determine the independent (source) variable (e.g., LOC, number of deployments, COTS procurements, etc.), data collection methodology, and data type corresponding to the desired analysis.
2.) Test Relationships: After selecting the variables, test for associations that may exist between each variable and cost.
3.)Perform Regression: After initial inspection and testing of the data, perform regression analysis to develop the equation to use in the model
4.) Select CERs: Select the CER that best represents the data.
5.) Validate CERs: Finally, validate the CER on the representative data that was not used to develop the equation.

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7
Q

__________ of a CER is defined as resetting the
y-intercept (or equivalently the constant term) of the CER to force it to pass through a desired point (pair of coordinates).

A

Calibration

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8
Q

The _________ represents the ratio of explained variation to total variation in the data set. It provides an estimate of how explanatory the independent variable, cost driver, is.

A

R2 value (R squared)

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9
Q

_________ occurs when there is a significant correlation between two cost drivers and it is unlikely that both cost drivers will be good explanatory variables at the same time.

A

Multicollinearity

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