Final answer:
Static code analysis can be performed using various tools such as Lint, Pylint, and SonarQube. Each tool is designed to identify different aspects of code quality and maintain high coding standards.
Step-by-step explanation:
To run static code analysis, you can utilize a variety of tools depending on the programming language and the specific requirements of the project. In this context, the tools mentioned are:
- Lint - A generic term for tools that analyze source code to flag programming errors, bugs, stylistic errors, and suspicious constructs.
- Pylint - A tool specifically tailored to analyze Python code. It checks for errors, enforces a coding standard, and looks for certain type of code smells.
- SonarQube - An open-source platform for continuous inspection of code quality to perform automatic reviews with static code analysis to detect bugs, code smells, and security vulnerabilities.
All of the above tools are designed to help developers write better code and maintain a high standard of quality. They are used to identify areas of the code that could be improved before the code is executed, hence the term 'static'.