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HTML editors that support What You See Is What You Get paradigm provide a user interface similar to a word processor for creating HTML documents, as an alternative to manual coding. [1] Achieving true WYSIWYG however is not always possible.
Initially code-named "Cougar", [18] HTML 4.0 adopted many browser-specific element types and attributes, but also sought to phase out Netscape's visual markup features by marking them as deprecated in favor of style sheets. HTML 4 is an SGML application conforming to ISO 8879 – SGML. [20] April 24, 1998
HTML that has been written to conform to both the HTML and XHTML specifications and therefore produces the same DOM tree whether parsed as HTML or XML is known as polyglot markup. [124] There is no DTD for XHTML5. [125]
In the United Kingdom (excluding Scotland), the Five Ws are used in Key Stage 2 and Key Stage 3 lessons (ages 7–14). [7] In data analytics, the Five Ws are used in the first stage of the BADIR to identify the business problem and its context in an analytics request.
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some specific sense defined by the analyst) to each other than to those in other groups (clusters).
The specification of a programming language often includes a set of rules, the lexical grammar, which defines the lexical syntax. The lexical syntax is usually a regular language, with the grammar rules consisting of regular expressions; they define the set of possible character sequences (lexemes) of a token. A lexer recognizes strings, and ...
Computing the code coverage of a test identifies code that is not tested; not covered by a test. Although this analysis identifies code that is not tested it does not determine whether tested coded is adequately tested. Code can be executed even if the tests do not actually verify correct behavior. Gcov is the GNU source code coverage program.
In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the outcome or response variable, or a label in machine learning parlance) and one or more error-free independent variables (often called regressors, predictors, covariates, explanatory ...