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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.
Process validation is the analysis of data gathered throughout the design and manufacturing of a product in order to confirm that the process can reliably output products of a determined standard. Regulatory authorities like EMA and FDA have published guidelines relating to process validation. [ 1 ]
The term is also used in software engineering, where a retrospective is a meeting held by a project team at the end of a project or process (often after an iteration) to discuss what was successful about the project or time period covered by that retrospective, what could be improved, and how to incorporate the successes and improvements in ...
Validation during the software development process can be seen as a form of User Requirements Specification validation; and, that at the end of the development process is equivalent to Internal and/or External Software validation. Verification, from CMMI's point of view, is evidently of the artifact kind.
The validation process begins with validation planning, system requirements definition, testing and verification activities, and validation reporting. The system lifecycle then enters the operational phase and continues until system retirement and retention of system data based on regulatory rules.
The verification and validation of a simulation model starts after functional specifications have been documented and initial model development has been completed. [4] Verification and validation is an iterative process that takes place throughout the development of a model. [1] [4]
A broad definition of verification makes it related to software testing. In that case, there are two fundamental approaches to verification: Dynamic verification, also known as experimentation, dynamic testing or, simply testing. - This is good for finding faults (software bugs).
Identifying design problems and solving them as early in the design cycle as possible is a key to keeping projects on time and within budget. Too often, product design and performance problems are not detected until late in the product development cycle, when the product is ready to be shipped.