Program Complexity Analysis Questions Medium
Some common indicators of high program complexity include:
1. Lengthy and convoluted code: Programs with long and complex code structures, excessive nesting, and numerous conditional statements tend to be more complex.
2. Large number of variables and functions: Programs with a high number of variables and functions can be harder to understand and maintain.
3. Lack of modularity: Programs that lack proper modularization and encapsulation tend to be more complex as it becomes difficult to isolate and understand individual components.
4. Poor code readability: Programs with poor naming conventions, lack of comments, and inconsistent formatting make it harder for developers to understand and modify the code.
5. High cyclomatic complexity: Cyclomatic complexity measures the number of independent paths through a program. Higher cyclomatic complexity indicates more complex control flow and decision-making within the program.
6. Excessive dependencies: Programs with a large number of dependencies between different modules or components can be more complex to manage and debug.
7. Lack of documentation: Insufficient or outdated documentation can make it challenging for developers to understand the program's functionality and design.
8. Inefficient algorithms and data structures: Programs that use inefficient algorithms or inappropriate data structures can lead to increased complexity and poor performance.
9. Lack of test coverage: Programs with inadequate test coverage are more likely to have hidden bugs and can be harder to debug and maintain.
10. High coupling and low cohesion: Programs with high coupling (strong interdependencies between modules) and low cohesion (weak internal relationships within modules) tend to be more complex and harder to modify.
It is important to note that these indicators are not exhaustive, and program complexity can vary depending on the specific context and requirements of the software project.