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IBM's Cross System Product (CSP) was an application generator intended to create online systems on IBM's mainframe platforms. Introduced in 1981, [ 1 ] CSP consisted of a set of source code generators that allowed developers to interactively define, test, generate, and execute application programs .
Dielectric-barrier discharge (DBD) is the electrical discharge between two electrodes separated by an insulating dielectric barrier. Originally called silent (inaudible) discharge and also known as ozone production discharge [ 1 ] or partial discharge , [ 2 ] it was first reported by Ernst Werner von Siemens in 1857.
fully cross-linked project-wide, including all hierarchy and dependency graphs, metrics tables, source code snippets, and source files full semantic analysis of source code, including parameter types, conditional compilation directives, macro expansions Javadoc: JSDoc: Yes JsDoc Toolkit: Yes mkd: Customisable for all type of comments 'as-is' in ...
Database description, a type of OSPF packet; Deep borehole disposal, a technique to dispose of nuclear waste; Defective by Design, an anti-DRM initiative; Dielectric barrier discharge, a type of electrical discharge
cross-platform (Java / Eclipse) 10.12.0 2021-02-22 Proprietary: DMS Software Reengineering Toolkit: Semantic Designs Windows 2001 2.0 Proprietary: DRAKON: Stepan Mitkin cross-platform (Tcl/Tk) 2011 1.27 2016-03-10 Free GeneXus: GeneXus Cross Platform (multiple) 1991 v17 Proprietary: Genshi (templating language) Edgewall Software cross-platform ...
Data build tool (dbt) ... like for example country codes or lookup tables), which are CSV based and typically stored in a seeds folder. ...
However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration, user-written code could save the name and type of the variable into an external data structure, so that these could be checked against ...
It can be shown that if is a pseudo-random number generator for the uniform distribution on (,) and if is the CDF of some given probability distribution , then is a pseudo-random number generator for , where : (,) is the percentile of , i.e. ():= {: ()}. Intuitively, an arbitrary distribution can be simulated from a simulation of the standard ...