Summary

This blog explains how numeric overflow occurs in embedded systems and why it matters for firmware correctness and safety. It walks through common causes (both integer and floating-point), shows practical examples on microcontrollers, and describes detection and mitigation techniques engineers can apply.

Key Takeaways

• Identify common overflow sources in embedded code, including integer wrap-around and floating-point range limits
• Implement runtime checks, clamping/saturation, or use wider types to prevent incorrect results
• Use compiler warnings, sanitizers, and static analysis to catch overflow-related bugs early
• Design unit and edge-case tests (and fuzz tests) that deliberately trigger overflow conditions
• Apply safe numeric patterns for constrained systems, such as fixed-point alternatives and hardware FP exception handling

Who Should Read This

Embedded firmware engineers and developers working on microcontrollers or IoT devices who need practical guidance to detect, test, and prevent numeric overflow.

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