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Template framework(s) Caching framework(s) Form validation framework(s) AngularJS: XHR, JSONP Yes i18n and l10n Karma (unit testing), Protractor (end-to-end testing) Content Security Policy (CSP), XSRF Templates Caching Form validation (client-side) EmberJS: Yes Yes Yes Ember Data QUnit Handlebars qooxdoo: Yes Data binding i18n Testrunner
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Unit test generator for C/C++ libraries. Can automatically generate reasonable input data for every API function. Automated Testing Framework: 2007 [33] [34] BSD: Originally developed for the NetBSD operating system but works well in most Unix-like platforms. Ability to install tests as part of a release. BDD-for-C: Yes [35] MIT
The use of templates as a metaprogramming technique requires two distinct operations: a template must be defined, and a defined template must be instantiated.The generic form of the generated source code is described in the template definition, and when the template is instantiated, the generic form in the template is used to generate a specific set of source code.
For example, the template base class in the Factorial example below is implemented by matching 0 rather than with an inequality test, which was previously unavailable. However, the arrival in C++11 of standard library features such as std::conditional has provided another, more flexible way to handle conditional template instantiation.
Mandatory Test Set (MTS). This tactic associates a set of constant values to a VIS' variable and generates as many test classes as elements are in the set. Each test class is characterized by a predicate of the form = where var is the name of the variable and val is one of the values of the set. Numeric Ranges (NR).
The input data can be a class so that input data can be characterized as a model–view–controller (MVC) view. The Mustache template does nothing but reference methods in the (input data) view. [3] All the logic, decisions, and code is contained in this view, and all the markup (ex. output XML) is contained in the template.
Modern C++ compilers are tuned to minimize abstraction penalties arising from heavy use of the STL. The STL was created as the first library of generic algorithms and data structures for C++, with four ideas in mind: generic programming, abstractness without loss of efficiency, the Von Neumann computation model, [2] and value semantics.