Final answer:
The three correct measures used to assess the quality of an algorithm are Time Complexity, Reusability, and Resource Consumption. These factors are essential for determining an algorithm's efficiency, adaptability, and overall performance.
Step-by-step explanation:
When assessing the quality of an algorithm, there are several measures one can consider, but based on the options provided, three stand out as particularly relevant:
- Time Complexity: This refers to how the runtime of an algorithm scales with the size of the input data. It is crucial for understanding how efficiently an algorithm can process data.
- Reusability: A key characteristic of a robust algorithm is its reusability. The ability to use the algorithm for different tasks or in different systems without significant modifications is indicative of good design.
- Resource Consumption: This encompasses both memory usage and other computing resources that the algorithm requires to run. Efficient algorithms perform well without consuming excessive resources.
The amount of variables and the number of code lines, while tangible aspects, do not directly relate to an algorithm's quality in terms of performance and adaptability.