Which of the following measures are used to assess the quality of an algorithm? Select the 3 correct answers.
a. resource consumption
b. time complexity
c. reusability
d. number of lines
e. amount of variables
a. resource consumption
b. time complexity
c. reusability
To assess the quality of an algorithm, there are several measures that can be used. Let's go through the options to identify the three correct answers:
a. Resource consumption: This refers to the amount of resources, such as memory or processing power, that an algorithm requires to execute. It is an important measure of efficiency and can be used to evaluate the quality of an algorithm.
b. Time complexity: This measure describes the amount of time an algorithm takes to run, based on the size of the input. It helps to determine how scalable and efficient an algorithm is.
c. Reusability: Although reusability is an important characteristic of well-designed software components, it is not a direct measure of algorithm quality. Reusability relates to the ability to reuse code in different contexts, rather than evaluating the efficiency or performance of the algorithm itself.
d. Number of lines: The number of lines of code used to implement an algorithm does not directly correlate with its quality. The quality of an algorithm depends on factors such as correctness, efficiency, and maintainability, rather than the length of the code.
e. Amount of variables: Like the number of lines, the amount of variables used does not directly measure the quality of an algorithm. The quality of an algorithm depends on other factors, such as its correctness, efficiency, and effectiveness in solving the problem at hand.
Therefore, the correct answers for assessing the quality of an algorithm among the given options are:
a. Resource consumption
b. Time complexity
The three correct measures used to assess the quality of an algorithm are:
a. Resource consumption: This measure assesses how efficiently an algorithm utilizes system resources such as memory usage or CPU usage.
b. Time complexity: This measure is used to analyze the amount of time required for an algorithm to run, often denoted using Big O notation.
c. Reusability: This measure evaluates how easily an algorithm can be used in different contexts or integrated into different systems, maximizing its versatility.
The other options, number of lines and amount of variables, are not directly indicative of the quality of an algorithm but are factors to consider for code readability and maintainability.