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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.
all general documentation; references, manual, organigrams, ... Including the binary codes included in the comments. all coded comments MkDocs: Natural Docs: NDoc: perldoc: Extend the generator classes through Perl programming. Only linking pdoc: overridable Jinja2 templates source code syntax highlighting, automatic cross-linking to symbol ...
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 ...
AI startup Hugging Face and ServiceNow Research, ServiceNow’s R&D division, have released StarCoder, a free alternative to code-generating AI systems along the lines of GitHub’s Copilot. Code ...
Javadoc. Javadoc is a documentation generator created by Sun Microsystems for the Java language (now owned by Oracle Corporation) for generating API documentation in HTML format from Java source code. The HTML format is used for adding the convenience of being able to hyperlink related documents together. [1]
Mintlify taps AI to automatically generate documentation from code. Mintlify, a startup developing software to automate software documentation tasks, today announced that it raised $2.8 million in ...
Java, Python, PHP, C++, SQL, Alloy, NuSMV, yUML, USE Java Command-line tools, Embeddable in web pages, Eclipse: Input or export can be by diagram or Umple textual form, separation of concerns (aspects, traits, mixins), embeds action code in Java and other languages, written in itself, documentation generation, plugin architecture for generators
When code generation occurs at runtime, as in just-in-time compilation (JIT), it is important that the entire process be efficient with respect to space and time. For example, when regular expressions are interpreted and used to generate code at runtime, a non-deterministic finite state machine is often generated instead of a deterministic one, because usually the former can be created more ...
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