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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.
Validation may refer to: . Data validation, in computer science, ensuring that data inserted into an application satisfies defined formats and other input criteria; Emotional validation, in interpersonal communication is the recognition, the affirmation, the acceptance of the existence of expressed emotions, and the communication, the acknowledgement, of this recognition with the emoter(s ...
The definition of M&S validation focuses on the accuracy with which the M&S represents the real-world intended use(s). Determining the degree of M&S accuracy is required because all M&S are approximations of reality, and it is usually critical to determine if the degree of approximation is acceptable for the intended use(s).
Informal methods of validation and verification are some of the more frequently used in modeling and simulation. They are called informal because they are more qualitative than quantitative. [1] While many methods of validation or verification rely on numerical results, informal methods tend to rely on the opinions of experts to draw a conclusion.
Emotional validation is a process which involves acknowledging and accepting another individual's inner emotional experience, without necessarily agreeing with or justifying it, and possibly also communicating that acceptance. [1] It is a process that fosters empathy, strengthens relationships, and helps resolve conflicts.
A thesaurus (pl.: thesauri or thesauruses), sometimes called a synonym dictionary or dictionary of synonyms, is a reference work which arranges words by their meanings (or in simpler terms, a book where one can find different words with similar meanings to other words), [1] [2] sometimes as a hierarchy of broader and narrower terms, sometimes simply as lists of synonyms and antonyms.
The corresponding conditional of a valid argument is a logical truth and the negation of its corresponding conditional is a contradiction. The conclusion is a necessary consequence of its premises. An argument that is not valid is said to be "invalid". An example of a valid (and sound) argument is given by the following well-known syllogism:
Data validation is intended to provide certain well-defined guarantees for fitness and consistency of data in an application or automated system. Data validation rules can be defined and designed using various methodologies, and be deployed in various contexts. [1]