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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 4 of 15

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Discuss
Answer: (b).The size of the software Explanation:The primary cost driver in software development projects is software size, measured in lines of code.
Discuss
Answer: (a).The Walston-Felix model results in lower cost estimates for small programs, while the Boehm-Halstead model results in lower cost estimates for large programs Explanation:The Walston-Felix model results in lower cost estimates for small programs, while the Boehm-Halstead model yields a cost estimate which is an order of magnitude higher than that of Walston-Felix for projects in the order of one million lines of code.
Discuss
Answer: (a).The theory of economics that states that it is cheaper to produce large quantities of the same product Explanation:In a so-called economy of scale, one assumes that it is cheaper to produce large quantities of the same product. The fixed costs are then distributed over a larger number of units, which decreases the cost per unit.
Discuss
Answer: (c).It is the value that strongly influences the computed value of effort Explanation:It is clear that the value of the exponent strongly influences the computed value E, certainly for large values of KLOC.
Discuss
Answer: (a).It is too inexact to act as a base for a cost estimate Explanation:Using the number of lines of code as a measure for software size is too inexact to provide a reliable cost estimate early on in a project.
Q36.
What is the solution to the problem of unreliable software size estimates early on in a project?
Discuss
Answer: (d).All of the above Explanation:Using an alternative model that can provide more accurate size estimates early on, switching to a more detailed model as the project progresses, and calibrating the model to the specific environment as solutions to the problem of unreliable software size estimates early on in a project.
Discuss
Answer: (a).The models are based on different sets of projects and development environments Explanation:The differences between the models arise from the fact that the models are based on different sets of projects and development environments, and that each environment has its own specific characteristics which need to be taken into account when using the models.
Q38.
What is the base equation of Walston and Felix's model?
Discuss
Answer: (a).E=5.2KLOC^0.91 Explanation:The base equation of Walston and Felix's model is E=5.2KLOC^0.91, which uses the size of the software in lines of code as the primary cost driver, and is based on a regression analysis of 60 projects from IBM.
Q39.
How many factors does the Walston and Felix model consider?
Discuss
Answer: (d).29 Explanation:The Walston and Felix model considers 29 factors that influence productivity, and uses a productivity index to translate them into expected productivity in lines of code per man-month.
Q40.
What are the values that the variables Xi can take on in the Walston and Felix model?
Discuss
Answer: (a).+1, 0, -1 Explanation:The variables Xi can take on values +1, 0 and -1 in the Walston and Felix model, where the corresponding factor scores as low, average or high and results in a high, average or low productivity, respectively.

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