Code Standards

Naming Conventions:

• Use descriptive and meaningful names for variables, functions, and classes.

• Follow camelCase for variable and function names (e.g., sensorData, calculatePath()).

• Use PascalCase for class names (e.g., PerceptionModule, LocalizationSystem).

• Avoid single-letter variable names except for loop counters or well-known conventions (e.g., i, j).

Indentation and Formatting:

• Use a consistent indentation of 4 spaces.

• Encourage clear and concise code with proper line breaks and white spaces.

• Limit line length to 80-100 characters to ensure code readability.

Comments:

• Include comments to explain complex logic or algorithms.

• Add comments to clarify the purpose of classes, functions, and important code blocks.

• Avoid unnecessary comments that only restate obvious code.

Error Handling:

• Use proper error handling mechanisms, like exceptions or error codes, to handle unexpected situations.

• Log errors with relevant context information to aid debugging and diagnostics.

Modularity and Reusability:

• Encourage writing modular and reusable code.

• Design classes and functions with a single responsibility.

• Avoid duplication of code; prefer writing utility functions or libraries.

Code Reviews:

• Conduct regular code reviews to maintain code quality and adherence to the coding standards.

• Encourage constructive feedback and discussions during code reviews.

Version Control:

• Utilize version control systems (e.g., Git) for code collaboration and tracking changes.

• Follow a branching strategy to manage code changes effectively.

Unit Testing:

• Encourage writing unit tests for critical components and algorithms.

• Aim for high test coverage to catch potential bugs early in development.

Security Considerations:

• Follow secure coding practices to prevent common vulnerabilities, such as SQL injection or cross-site scripting.

• Sanitize user inputs and validate data to avoid security breaches.

Documentation:

• Maintain up-to-date and comprehensive documentation for code and APIs.

• Provide usage examples and explanations of complex algorithms or functions.

Performance Optimization:

• Optimize code for performance when necessary, but prioritize readability and maintainability.

• Use profiling tools to identify performance bottlenecks before applying optimizations.