Checking for common errors in code, such as division by zero, numerical overflow, array out-of-bounds access, data exceeding range, invalid logic, incorrect memory read/write order, and denormal numbers (numbers smaller than the smallest representable normalized floating-point number), is a fundamental function of code checking. These errors also exist in models, leading to generated code containing them. Therefore, detecting these issues during static analysis can save significant testing effort and greatly improve software operability.

Leveraging the functionality of DV, Model Guideline Checker implements checks for the above errors. During the checking process, it automatically analyzes block compatibility with DV, eliminates incompatibility factors, and enables rapid checking of the aforementioned errors through simple operations.