Arizona State University (ASU) CSE240 Introduction to Programming Languages Midterm Practice Exam

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What does complexity analysis evaluate?

It evaluates the number of lines in the code.

It evaluates the adequacy of programming language syntax.

It evaluates the efficiency of an algorithm regarding time and space.

Complexity analysis is fundamentally concerned with the efficiency of algorithms, specifically focusing on how these algorithms perform in terms of time and space resource usage as the input size grows. This analysis helps developers understand how quickly an algorithm can execute (time complexity) and how much memory it requires (space complexity) for various input sizes.

The emphasis on efficiency is crucial in programming and software development because it can significantly impact performance, particularly in applications where large datasets are processed or where system resources are limited. By determining an algorithm's complexity, programmers can make informed decisions about which algorithms to use in a particular context, optimizing for faster execution times or lower memory usage as needed.

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It evaluates software based on user interface design.

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