Blog Datasheets Home About me Clients My work Services Contact

G2Labs Grzegorz Grzęda

Code review techniques for enforcing clean code standards in C and Python projects

August 2, 2023

As software developers, we strive for clean, maintainable, and efficient code. Code reviews are an integral part of the software development process, helping to ensure that code adheres to established standards and best practices. In this post, we will explore code review techniques for enforcing clean code standards in C and Python projects, with extensive examples in both languages.

Understanding Clean Code Principles

Before delving into code review techniques, it’s important to understand the principles of clean code. Clean code is readable, modular, and expressive. It follows established coding conventions, uses meaningful variable and function names, and minimizes complexity. Adhering to clean code principles can improve the understandability of code, reduce the likelihood of bugs and errors, and make it easier to maintain and enhance the software over time.

Code Review Techniques

1. Naming Conventions

One of the fundamental aspects of clean code is the use of meaningful and descriptive variable and function names. During code reviews, it’s essential to ensure that the naming conventions are consistent and follow best practices.

Example in C:

1
2
3
4
5
6
7
8
9
// Good naming convention
int calculateSum(int num1, int num2) {
    return num1 + num2;
}

// Poor naming convention
int add(int a, int b) {
    return a + b;
}

Example in Python:

1
2
3
4
5
6
7
# Good naming convention
def calculate_sum(num1, num2):
    return num1 + num2

# Poor naming convention
def add(a, b):
    return a + b

2. Code Formatting and Structure

Consistent code formatting and structure are crucial for readability and maintainability. Code reviews should check for adherence to coding style guidelines, indentation, and the proper use of whitespace.

Example in C:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
// Good code formatting and structure
void performTask(int param1, int param2) {
    if (param1 > param2) {
        printf("Param1 is greater than Param2\n");
    } else {
        printf("Param2 is greater than Param1\n");
    }
}

// Poor code formatting and structure
void performTask(int param1, int param2){
if (param1>param2){
printf("Param1 is greater than Param2\n");
}else{
printf("Param2 is greater than Param1\n");
}
}

Example in Python:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
# Good code formatting and structure
def perform_task(param1, param2):
    if param1 > param2:
        print("Param1 is greater than Param2")
    else:
        print("Param2 is greater than Param1")

# Poor code formatting and structure
def perform_task(param1, param2):
if param1 > param2:
print("Param1 is greater than Param2")
else:
print("Param2 is greater than Param1")

3. Modularity and Reusability

Clean code promotes modularity and reusability, reducing code duplication and improving maintainability. During code reviews, examine the code for opportunities to refactor and extract reusable components.

Example in C:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
// Reusable function
int calculateSquare(int num) {
    return num * num;
}

// Module with reusable functions
#include <stdio.h>

void main() {
    int number = 5;
    printf("Square of %d is %d\n", number, calculateSquare(number));
}

Example in Python:

1
2
3
4
5
6
7
8
# Reusable function
def calculate_square(num):
    return num * num

# Module with reusable functions
if __name__ == "__main__":
    number = 5
    print(f"Square of {number} is {calculate_square(number)}")

4. Error Handling and Defensive Programming

Code reviews should include a thorough review of error handling and defensive programming techniques, ensuring that the code handles potential errors gracefully and robustly.

Example in C:

1
2
3
4
5
6
7
8
// Error handling example
int divide(int num1, int num2) {
    if (num2 == 0) {
        fprintf(stderr, "Error: Division by zero\n");
        return 0;
    }
    return num1 / num2;
}

Example in Python:

1
2
3
4
5
# Error handling example
def divide(num1, num2):
    if num2 == 0:
        raise ZeroDivisionError("Division by zero")
    return num1 / num2

Conclusion

Code review techniques are essential for enforcing clean code standards in C and Python projects. By focusing on naming conventions, code formatting and structure, modularity and reusability, and error handling, developers can ensure that their code adheres to clean code principles. Consistent and rigorous code reviews can lead to improved code quality, readability, and maintainability, ultimately resulting in a more efficient and robust software system.

By adopting these code review techniques, developers can contribute to a culture of clean code and continuous improvement within their projects and organizations.

Remember, clean code is not just about following a set of rules; it is about fostering a mindset of craftsmanship and care in software development.

Happy coding!


➡️ Using MQTT for Real-time Data Streaming in C and Python Applications


⬅️ Integrating MQTT with C and Python IoT Projects: Tips and Tricks for Intermediate Programmers


Go back to Posts.