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C/C++ unit testing in safety-critical systems is time-consuming, manual, and difficult to scale. This article explores how AI-assisted workflows with Cantata and Claude Code transform test creation into a structured, closed-loop process, automating generation, execution, and coverage refinement while maintaining certification compliance. The result is faster test development, improved coverage, and a more controlled, repeatable approach to verification.
MC/DC coverage and edge condition testing reveal defects that traditional testing misses. These techniques are vital for compliance, ensuring safety-critical software behaves correctly under all conditions. Cantata automates this process with powerful structural coverage and reporting tools.