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  2. Component-based Scalable Logical Architecture - Wikipedia

    en.wikipedia.org/wiki/Component-based_Scalable...

    These rules are attached to object instances or properties, and are automatically invoked by CSLA .NET when necessary. Validation rules may be implemented using the CSLA .NET rule engine, or through the use of the DataAnnotations feature of Microsoft .NET.

  3. Microsoft Enterprise Library - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Enterprise_Library

    Each application block addresses a specific cross-cutting concern and provides highly configurable features, which results in higher developer productivity. The Application Blocks in Enterprise Library are designed to be as agnostic as possible to the application architecture, for example the Logging Application Block may be used equally in a web, smart client or service-oriented application.

  4. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    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]

  5. Fluent interface - Wikipedia

    en.wikipedia.org/wiki/Fluent_interface

    A .NET fluent validation library written in C# Archived 2017-12-23 at the Wayback Machine; A tutorial for creating formal Java fluent APIs from a BNF notation; Fluent Interfaces are Evil; Developing a fluent api is so cool

  6. Verification and validation - Wikipedia

    en.wikipedia.org/wiki/Verification_and_validation

    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.

  7. Data validation and reconciliation - Wikipedia

    en.wikipedia.org/wiki/Data_validation_and...

    Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.

  8. Entity–attribute–value model - Wikipedia

    en.wikipedia.org/wiki/Entity–attribute–value...

    An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design.

  9. Object–relational mapping - Wikipedia

    en.wikipedia.org/wiki/Object–relational_mapping

    Object–relational mapping (ORM, O/RM, and O/R mapping tool) in computer science is a programming technique for converting data between a relational database and the memory (usually the heap) of an object-oriented programming language.