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This paper describes the application of an automatedverification tool to a software model developed at Ford.Ford already has in place an advanced model-based softwaredevelopment framework that employs the Matlab®,Simulink®, and Stateflow® modeling tools. Duringthis project we applied the invariant checker Salsa to aSimulink®/ Stateflow® model of automotive software tocheck for nondeterminism, missing cases, dead code, andredundant code. During the analysis, a number of anomalieswere detected that had not been found during manualreview. We argue that the detection and correction of theseproblems demonstrates a cost-effective application of formalverification that elevates our level of confidence in themodel.