What are the two types of code analysis?

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Multiple Choice

What are the two types of code analysis?

Explanation:
The two types of code analysis are accurately described as static and dynamic analysis. Static analysis is the examination of code without executing it. This method focuses on the code structure, syntax, potential errors, and adherence to coding standards by analyzing the source code in its entirety. Tools that perform static code analysis help developers identify issues early in the development cycle, facilitating a more effective and efficient coding process. Dynamic analysis, on the other hand, involves examining the code while it is running. This method evaluates the behavior of the software in real-time and helps identify issues related to performance, security, and integration that may not surface until the code is executed. Dynamic analysis typically uncovers runtime errors and inconsistencies, providing insights into the functional aspects of the software. Together, these two analysis methods provide a comprehensive understanding of code quality, ensuring both correctness and efficiency before deployment.

The two types of code analysis are accurately described as static and dynamic analysis.

Static analysis is the examination of code without executing it. This method focuses on the code structure, syntax, potential errors, and adherence to coding standards by analyzing the source code in its entirety. Tools that perform static code analysis help developers identify issues early in the development cycle, facilitating a more effective and efficient coding process.

Dynamic analysis, on the other hand, involves examining the code while it is running. This method evaluates the behavior of the software in real-time and helps identify issues related to performance, security, and integration that may not surface until the code is executed. Dynamic analysis typically uncovers runtime errors and inconsistencies, providing insights into the functional aspects of the software.

Together, these two analysis methods provide a comprehensive understanding of code quality, ensuring both correctness and efficiency before deployment.

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