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Any textual language. DMS Software Reengineering Toolkit. Several code generation DSLs (attribute grammars, tree patterns, source-to-source rewrites) Active. DSLs represented as abstract syntax trees. DSL instance. Well-formed output language code fragments. Any programming language (proven for C, C++, Java, C#, PHP, COBOL) gSOAP.
Automatic programming. In computer science, automatic programming[1] is a type of computer programming in which some mechanism generates a computer program to allow human programmers to write the code at a higher abstraction level. There has been little agreement on the precise definition of automatic programming, mostly because its meaning has ...
In computing, code generation is part of the process chain of a compiler and converts intermediate representation of source code into a form (e.g., machine code) that can be readily executed by the target system. Sophisticated compilers typically perform multiple passes over various intermediate forms. This multi-stage process is used because ...
Configurable syntax highlighting/coloring with automatic linking to symbols in declaration, ability to manually link to symbols in discussion, etc. Provides warnings if tagged parameters do not match code, parsed parameters included in XML output and Doxygen-style tagfile (-D flag in 8.7). Partial C preprocessor support with -p flag.
To do so technically would require a more sophisticated grammar, like a Chomsky Type 1 grammar, also termed a context-sensitive grammar. 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 ...
In computing, code generation denotes software techniques or systems that generate program code which may then be used independently of the generator system in a runtime environment. Specific articles: Code generation (compiler), a mechanism to produce the executable form of computer programs, such as machine code, in some automatic manner
PQCC tried to extend the term compiler-compiler beyond the traditional meaning as a parser generator (e.g., Yacc) without much success. PQCC might more properly be referred to as a compiler generator. PQCC research into code generation process sought to build a truly automatic compiler-writing system.
t. e. An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data (unsupervised learning). [1][2] An autoencoder learns two functions: an encoding function that transforms the input data, and a decoding function that recreates the input data from the encoded representation.
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