Expel

MathWorks Polyspace stands as a comprehensive formal verification platform designed specifically for safety-critical embedded software development. The tool employs mathematical proof techniques to detect runtime errors in C, C++, and Ada code without requiring test cases or program execution. This static analysis approach provides definitive verification that code will not experience buffer overflows, division by zero, or other critical runtime failures.

The platform operates through abstract interpretation, a mathematical method that analyzes all possible execution paths simultaneously. Polyspace examines source code to identify potential runtime errors, dead code, and unreachable statements with mathematical certainty. The tool generates color-coded results that clearly distinguish between proven safe code, detected errors, and areas requiring further analysis.

Polyspace offers two primary analysis modes tailored to different verification needs. Bug Finder rapidly identifies coding rule violations and potential defects using industry standards like MISRA C/C++, CERT, and CWE. Code Prover performs exhaustive formal verification to mathematically prove the absence of runtime errors across all possible execution scenarios.

The platform integrates seamlessly with existing development workflows through support for major IDEs and continuous integration systems. Polyspace can analyze code at various development stages, from early design phases through final testing. The tool provides detailed reports and metrics that support certification processes for standards including DO-178C, ISO 26262, and IEC 61508.

Safety-critical industries rely on Polyspace for applications where software failure could result in catastrophic consequences. Aerospace companies use the platform to verify flight control systems and avionics software. Automotive manufacturers employ Polyspace for autonomous driving systems, engine control units, and safety systems. Medical device companies leverage the tool to ensure reliability in life-supporting equipment and diagnostic systems.

Polyspace addresses the growing complexity of embedded software by providing mathematical certainty rather than statistical confidence. The platform complements traditional testing methodologies by identifying errors that might escape conventional testing approaches. This formal verification capability becomes increasingly valuable as embedded systems incorporate more sophisticated algorithms and safety-critical functionality across industries requiring the highest levels of software reliability.