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  2. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    Overview. 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] Their implementation can use declarative data integrity rules, or ...

  3. Software verification and validation - Wikipedia

    en.wikipedia.org/wiki/Software_verification_and...

    Software reviews and audit. v. t. e. In software project management, software testing, and software engineering, verification and validation is the process of checking that a software engineer system meets specifications and requirements so that it fulfills its intended purpose. It may also be referred to as software quality control.

  4. W3C Markup Validation Service - Wikipedia

    en.wikipedia.org/wiki/W3C_Markup_Validation_Service

    W3C Markup Validation Service. Tag certifying that a website has been checked for well-formed XHTML (above) and CSS (below) markup. The Markup Validation Service is a validator by the World Wide Web Consortium (W3C) that allows Internet users to check pre-HTML5 HTML and XHTML documents for well-formed markup against a document type definition.

  5. Verification and validation - Wikipedia

    en.wikipedia.org/wiki/Verification_and_validation

    For validation of tests, see Test validity. Verification and validation (also abbreviated as V&V) are independent procedures that are used together for checking that a product, service, or system meets requirements and specifications and that it fulfills its intended purpose. [1] These are critical components of a quality management system such ...

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    In particular, three data sets are commonly used in different stages of the creation of the model: training, validation, and test sets. The model is initially fit on a training data set, [3] which is a set of examples used to fit the parameters (e.g. weights of connections between neurons in artificial neural networks) of the model. [4]

  7. Validation (drug manufacture) - Wikipedia

    en.wikipedia.org/wiki/Validation_(drug_manufacture)

    Validation is a requirement of food, drug and pharmaceutical regulating agencies such as the US FDA and their good manufacturing practices guidelines. Since a wide variety of procedures, processes, and activities need to be validated, the field of validation is divided into a number of subsections including the following: Equipment validation ...

  8. Extranet - Wikipedia

    en.wikipedia.org/wiki/Extranet

    Extranet. An extranet is a controlled private network that allows access to partners, vendors and suppliers or an authorized set of customers – normally to a subset of the information accessible from an organization's intranet. An extranet is similar to a DMZ in that it provides access to needed services for authorized parties, without ...

  9. Statistical model validation - Wikipedia

    en.wikipedia.org/wiki/Statistical_model_validation

    Statistical model validation. In statistics, model validation is the task of evaluating whether a chosen statistical model is appropriate or not. Oftentimes in statistical inference, inferences from models that appear to fit their data may be flukes, resulting in a misunderstanding by researchers of the actual relevance of their model.