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Unobtrusive JavaScript is a general approach to the use of client-side JavaScript in web pages so that if JavaScript features are partially or fully absent in a user's web browser, then the user notices as little as possible any lack of the web page's JavaScript functionality. [1]
An Extended Validation (EV) Certificate is a certificate conforming to X.509 that proves the legal entity of the owner and is signed by a certificate authority key that can issue EV certificates. EV certificates can be used in the same manner as any other X.509 certificates, including securing web communications with HTTPS and signing software ...
In software development, the V-model [2] represents a development process that may be considered an extension of the waterfall model and is an example of the more general V-model.
Markup validation is an important step towards ensuring the technical quality of web pages. However, it is not a complete measure of web standards conformance. [1] Though W3C validation is important for browser compatibility and site usability, it has not been confirmed what effect it has on search engine optimization.
Salesforce Platform (formerly known as Force.com) is a platform as a service (PaaS) that allows developers to add applications to the main Salesforce.com application. [ 51 ] [ failed verification ] These applications are hosted on Salesforce.com infrastructure.
The Universal Verification Methodology (UVM) is a standardized methodology for verifying integrated circuit designs. UVM is derived mainly from OVM (Open Verification Methodology) which was, to a large part, based on the eRM (e Reuse Methodology) for the e verification language developed by Verisity Design in 2001.
Unobtrusive research (or unobtrusive measures) is a method of data collection used primarily in the social sciences. The term unobtrusive measures was first coined by Webb, Campbell, Schwartz, & Sechrest in a 1966 book titled Unobtrusive Measures: Nonreactive Research in the Social Sciences . [ 1 ]
Cross validation is a method of model validation that iteratively refits the model, each time leaving out just a small sample and comparing whether the samples left out are predicted by the model: there are many kinds of cross validation. Predictive simulation is used to compare simulated data to actual data.