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Welcome to the Software Design Concepts MCQs Page

Dive deep into the fascinating world of Software Design Concepts with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Software Design Concepts, a crucial aspect of Software Engineering. In this section, you will encounter a diverse range of MCQs that cover various aspects of Software Design Concepts, 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 Software Design Concepts. 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 Software Design Concepts. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Software Design Concepts MCQs | Page 52 of 79

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Discuss
Answer: (c).The size of the task to be accomplished Explanation:Complexity metrics like those of Halstead, McCabe, and others measure attributes which are in some sense related to the size of the task to be accomplished.
Q512.
What is the purpose of complexity metrics like McCabe's, Halstead's and others?
Discuss
Answer: (d).All of the above Explanation:Complexity metrics like McCabe's and Halstead's serve various purposes such as determining the optimal size of a module, estimating the number of errors in a module, or estimating the cost of software.
Q513.
What is the problem with the known complexity metrics?
Discuss
Answer: (c).Both a and b Explanation:The known complexity metrics are not very context-sensitive and only measure a few facets, which makes them insufficient.
Discuss
Answer: (a).The condition that the numerical relations should be preserved in the empirical relations system Explanation:The representation condition as the condition that the numerical relations should be preserved in the empirical relations system.
Q515.
Can a higher value of complexity metric necessarily mean that a program is more complex?
Discuss
Answer: (b).No Explanation:A more complex program does not necessarily result in a higher value for a complexity metric, as complexity is made up of many specific attributes.
Q516.
What is the recommendation for the use of complexity metrics?
Discuss
Answer: (b).Use multiple metrics Explanation:The use of multiple metrics is likely to yield better insights into complexity, but the results must still be interpreted with care.
Discuss
Answer: (b).They are not substantially better indicators of coding effort, maintainability, and reliability than the length of a program. Explanation:Validations of both software science and cyclomatic complexity indicate that they are not substantially better indicators of coding effort, maintainability, or reliability than the length of a program.
Discuss
Answer: (a).It is the only metric that is easy to determine. Explanation:The latter (length of program) is much easier to determine, though.
Discuss
Answer: (b).Nodes of the graph correspond to modules and the edges denote the type of dependencies between modules Explanation:The nodes of the graph correspond to modules and the edges denote the type of dependencies between modules, such as module A contains module B, module A follows module B, etc.
Discuss
Answer: (c).To assess the complexity of the relations between modules Explanation:It is important to know the intermodule relations in a design process to assess the complexity of the relations between modules. The amount of knowledge between modules should be kept to a minimum.

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