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Currently in the automotive industry, most software source code is manually generated (i.e., hand written). This manually generated code is written to satisfy requirements that are generally specified or captured in an algorithm document. However, this process can be very error prone since errors can be introduced during the manual translation of the algorithm document to code. A better method would be to automatically generate code directly from the algorithm document. Therefore, the automotive industry is striving to model new and existing algorithms in an executable-modeling paradigm where code can be automatically generated. The advent of executable models together with automatic code generation should allow the translation of model to code to be error free, and this error-free status can be confirmed through testing. A three-stage process is presented to functionally verify the model, functionally verify the automatically-generated code, and structurally verify the code.

A software behavioral test determines whether software execution under given input conditions matches the requirements established for the software. A tool that can perform such tests on software subsystems has been developed. The tool evaluates real-time control software written for embedded controller applications and detects many software behavioral problems that previously were found only on the bench or in the prototype. The tool is PC/workstation-based, emulates operating system characteristics of typical embedded controllers, and employs a distributed architecture that supports global engineering.