Dynamic Analysis Tools are primarily used to:

Dynamic Analysis Tools are primarily used to:

• A. Determine differences between files or databases
• B. Monitor and report on system behavior under various conditions
• C. Find defects such as memory leaks while software is executing
• D. Measure the percentage of code structure exercised

Answer: (C)

Dynamic analysis tools are primarily used to find defects such as memory leaks while software is executing. This type of analysis takes place during the runtime of the application, allowing testers to observe how the software interacts with system resources and identify issues that occur only when the software is running. Memory leaks, for example, occur when the program allocates memory but fails to release it back to the system, leading to increased memory consumption over time. Dynamic analysis tools can greatly assist in detecting these types of defects as they analyze the program's behavior in real-time, providing insights into how memory is managed during execution and pinpointing the locations where leaks occur. The ability of dynamic analysis tools to monitor ongoing processes not only helps in finding defects but also allows for understanding performance bottlenecks, which is crucial for optimizing the software. This focus on runtime behavior makes dynamic analysis essential in ensuring the overall reliability and efficiency of the software under various operational scenarios.

Dynamic analysis tools are primarily used to find defects such as memory leaks while software is executing. This type of analysis takes place during the runtime of the application, allowing testers to observe how the software interacts with system resources and identify issues that occur only when the software is running.

Memory leaks, for example, occur when the program allocates memory but fails to release it back to the system, leading to increased memory consumption over time. Dynamic analysis tools can greatly assist in detecting these types of defects as they analyze the program's behavior in real-time, providing insights into how memory is managed during execution and pinpointing the locations where leaks occur.

The ability of dynamic analysis tools to monitor ongoing processes not only helps in finding defects but also allows for understanding performance bottlenecks, which is crucial for optimizing the software. This focus on runtime behavior makes dynamic analysis essential in ensuring the overall reliability and efficiency of the software under various operational scenarios.