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Verification is intended to check that a product, service, or system meets a set of design specifications. [6] [7] In the development phase, verification procedures involve performing special tests to model or simulate a portion, or the entirety, of a product, service, or system, then performing a review or analysis of the modeling results.
Naylor and Finger [1967] formulated a three-step approach to model validation that has been widely followed: [1] Step 1. Build a model that has high face validity. Step 2. Validate model assumptions. Step 3. Compare the model input-output transformations to corresponding input-output transformations for the real system. [5]
The V-model summarizes the main steps to be taken in conjunction with the corresponding deliverables within computerized system validation framework, or project life cycle development. It describes the activities to be performed and the results that have to be produced during product development.
End-to-end validation of production processes is essential in determining product quality because quality cannot always be determined by finished-product inspection. Process validation can be broken down into 3 steps: process design (Stage 1a, Stage 1b), process qualification (Stage 2a, Stage 2b), and continued process verification (Stage 3a ...
An engineering verification test (EVT) is performed on first engineering prototypes, to ensure that the basic unit performs to design goals and specifications. [1] Verification ensures that designs meets requirements and specification while validation ensures that created entity meets the user needs and objectives.
Every time the output of a process correctly implements its input specification, the software product is one step closer to final verification. If the output of a process is incorrect, the developers have not correctly implemented some component of that process. This kind of verification is called "artifact or specification verification".
The best way to achieve high confidence is to leverage the pre-silicon verification work — which can comprise as much as 30% of the overall cost of the implementation — and use that knowledge in the post-silicon system. Today, much of this work is done manually, which partially explains the high costs associated with system validation.
DIN 2304-1 [5] (Adhesive Bonding Technology - Quality Requirements for Adhesive Bonding - Part 1: Bonding Process Chain) specifies the requirements for a quality-compliant design of load-transferring adhesive bonds along the bonding process chain - from development through production to reworking.