Program Complexity Analysis Questions
Some common anti-patterns that contribute to program complexity are:
1. Spaghetti code: This refers to code that is tangled and difficult to understand due to excessive branching, nested loops, and lack of proper organization.
2. God object: This occurs when a single class or module becomes overly complex and takes on too many responsibilities, making it difficult to maintain and understand.
3. Tight coupling: This happens when modules or components are highly dependent on each other, making it challenging to modify or replace one without affecting others.
4. Lack of abstraction: When code is written without proper abstraction, it becomes harder to understand and maintain as the complexity increases.
5. Magic numbers and hardcoding: Using arbitrary values or hardcoded constants throughout the codebase can make it difficult to understand and modify the program.
6. Lack of documentation: Insufficient or outdated documentation can lead to confusion and increase the complexity of understanding the program.
7. Overuse of inheritance: Inheritance can lead to complex class hierarchies and tight coupling, making the codebase harder to understand and maintain.
8. Overuse of global variables: Excessive use of global variables can make it difficult to track and understand the flow of data within the program.
9. Lack of modularization: When code is not properly divided into smaller, manageable modules, it becomes harder to understand and maintain.
10. Overcomplicated control flow: Complex control flow structures, such as deeply nested if-else statements or excessive use of switch cases, can make the program harder to comprehend and debug.