What type of code does Static Code Analysis primarily focus on analyzing?

What type of code does Static Code Analysis primarily focus on analyzing?

• A. Efficient code
• B. Coding standards
• C. Inefficient code
• D. Historical code

Answer: (C)

Static Code Analysis mainly focuses on identifying coding standards and best practices within the codebase. The primary objective is to ensure that the code adheres to defined quality standards, is maintainable, and does not contain common vulnerabilities or potential issues that could lead to inefficient performance or bugs later on. While inefficient code might indeed be a concern for developers in terms of performance, Static Code Analysis is primarily designed to analyze conformance to established coding standards and practices, rather than solely targeting efficiency issues. This analysis includes aspects such as variable naming conventions, consistent formatting, and potential logical errors. The focus of Static Code Analysis allows teams to catch issues early in the development process, improving code quality and maintainability—foundational aspects that contribute to overall efficiency and performance in future iterations of the code.

Static Code Analysis mainly focuses on identifying coding standards and best practices within the codebase. The primary objective is to ensure that the code adheres to defined quality standards, is maintainable, and does not contain common vulnerabilities or potential issues that could lead to inefficient performance or bugs later on.

While inefficient code might indeed be a concern for developers in terms of performance, Static Code Analysis is primarily designed to analyze conformance to established coding standards and practices, rather than solely targeting efficiency issues. This analysis includes aspects such as variable naming conventions, consistent formatting, and potential logical errors.

The focus of Static Code Analysis allows teams to catch issues early in the development process, improving code quality and maintainability—foundational aspects that contribute to overall efficiency and performance in future iterations of the code.