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Welcome to the Cost Estimation MCQs Page

Dive deep into the fascinating world of Cost Estimation with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Cost Estimation, a crucial aspect of Software Engineering. In this section, you will encounter a diverse range of MCQs that cover various aspects of Cost Estimation, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Software Engineering.

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Check out the MCQs below to embark on an enriching journey through Cost Estimation. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Software Engineering.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Cost Estimation. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Cost Estimation MCQs | Page 15 of 15

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Q141.
What is the relation between average productivity and average team size according to Conte et al.

a.

L=777P-0.5

b.

L = 777P^(-0.5)

c.

L = 777/P+0.5

d.

L = 777/P-0.5

Discuss
Answer: (b).L = 777P^(-0.5) Explanation:According to Conte et al., the relation between average productivity (measured in lines of code per man-month) and average team size is L = 777P^(-0.5). This means that individual productivity decreases exponentially with team size.
Q142.
What is the maximum deviation from the actual cost that can be expected from an algorithmic cost estimation model like COCOMO 2?

a.

25%

b.

50%

c.

75%

d.

100%

Discuss
Answer: (c).75% Explanation:Present-day models like COCOMO 2 yield estimates which are at most 25% off, 75% of the time, for projects used to derive the model.
Q143.
What is the impact of compressing the development time on cost according to the given information?

a.

It decreases the cost

b.

It remains unchanged

c.

It increases the cost by X% relative to the nominal cost estimate

d.

It is not specified

Discuss
Answer: (c).It increases the cost by X% relative to the nominal cost estimate Explanation:Compressing the development time results in an increase in cost. Boehm sets the limit at 75% of the nominal development time, and states that compressing the development time by X% results in a cost increase of X% relative to the nominal cost estimate.
Q144.
What is the purpose of applying statistical techniques like regression analysis to a given set of project data in algorithmic models?

a.

To determine the parameters of the model

b.

To yield an estimate and a confidence interval

c.

To analyze the sensitivity of an estimate to varying values of relevant attributes

d.

All of the above

Discuss
Answer: (d).All of the above Explanation:Algorithmic models usually result from applying statistical techniques like regression analysis to a given set of project data. For a new project, the parameters of the model have to be determined, and the model yields an estimate and, in some cases, a confidence interval.
Q145.
What is a trade-off problem when it comes to software cost estimation?

a.

Applying statistical techniques like regression analysis to a given set of project data

b.

Determining the parameters of the model

c.

Analyzing the sensitivity of an estimate to varying values of relevant attributes

d.

None of the above

Discuss
Answer: (c).Analyzing the sensitivity of an estimate to varying values of relevant attributes Explanation:Something similar is also possible with software. Given a budget of $100 000 for library automation, what possibilities are there? Which user interface can we expect, what will the transaction speed be, how reliable will the system be?
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