Which testing technique is commonly suited for identifying risks in highly dynamic environments?

Error Guessing is particularly effective in identifying risks in highly dynamic environments because it leverages the tester's experience and intuition to anticipate where defects are likely to occur. In environments that are constantly changing, traditional testing methods might not be adequate to address the unpredictability of the system's behavior. Testers can focus their efforts on areas they suspect are most error-prone based on past experiences, recent changes, or known complexities of the application. This proactive approach helps highlight potential vulnerabilities and risks that may not be covered by more systematic testing techniques.

In contrast, regression testing primarily checks that previously functioning features remain intact following changes, which may not specifically target new risks introduced by dynamic changes. Performance testing evaluates how a system performs under load but does not inherently identify the risks associated with dynamic behaviors or changes. Specification-based testing relies on predefined requirements to design test cases, which can be less effective in environments where requirements are evolving and may not capture emerging risks effectively. Thus, Error Guessing stands out as the most adaptable and risk-focused technique in dynamic situations.