As EDA, ATE and T&M tools proliferate, and product design and test cycles shorten in an ever more convulsive effort to reduce time-to-market for new products, there is a greater and greater need for engineers and managers know how to determine what data is needed from a test and validation program, and then how to select the best, most effective methods for obtaining that information. Mistakes under these pressures can cost thousands of wasted parts in a poorly advised manufacturing run, and millions of dollars of investment or opportunity cost. Testing and validation is not just about conducting experiments, but about generating key information at the correct time so that sound business and engineering decisions can be made. This book integrates testing and validation methods with a business perspective, so readers can understand when, where, and how such methods can be economically justified.
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