Abstract

AbstractDeveloping optimal cost verification strategies for performance requirements using the analysis or test methods can be difficult, if not impossible. Developing such a strategy that is also adaptable to unexpected test results is even more difficult. The author investigates a reliability requirement verification example from the automobile industry for cost optimization and adaptability to unexpected failures using classical methods. Verification strategies for this example are then developed using conditional methods. These conditional verification strategies demonstrate significant cost efficiencies, and provide easy adaptability to unexpected failures. These strategies further provide understandable decision criteria for test success or failure. Using conditional methods for verification of performance requirements provides opportunities for cost savings, adaptability to unexpected test results data, and clear decisions for product acceptance.

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