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Any kind of languages as it is compatible with code generator tools like Eclipse UMLGenerators or Acceleo Any kind of languages supported by Eclipse UML Generators Eclipse Open source under EPL license, based on Eclipse, EMF, Sirius UMLet: No No No No No Java Eclipse, Visual Studio Code: Source/text focused simple modeling tool UModel: Yes Yes ...
reStructuredText (RST, ReST, or reST) is a file format for textual data used primarily in the Python programming language community for technical documentation.. It is part of the Docutils project of the Python Doc-SIG (Documentation Special Interest Group), aimed at creating a set of tools for Python similar to Javadoc for Java or Plain Old Documentation (POD) for Perl.
T4 Template/Text File: Any text format such as XML, XAML, C# files or just plain text files. Umple: Umple, Java, Javascript, PHP Active Tier Umple code embedding one or more of Java, Python, C++, PHP or Ruby Pure Umple code describing associations, patterns, state machines, etc.
These are JSON text files. [9] The application can also export manually selected fragments of a model into separate files with having the .mdf extension and import them back. It can also import files from StarUML 1 which use the .uml format. StarUML can generate HTML, PDF and EJS files do document a model.
The nested set model is a technique for representing nested set collections (also known as trees or hierarchies) in relational databases.. It is based on Nested Intervals, that "are immune to hierarchy reorganization problem, and allow answering ancestor path hierarchical queries algorithmically — without accessing the stored hierarchy relation".
ConceptDraw DIAGRAM (previously known as ConceptDraw PRO [1]) is proprietary diagramming software used to create business graphics, including: [2] diagrams, flowcharts, Infographics, data visualization for business process models, data presentation and project management documentation. [3]
Some of these tools can generate code from diagrams and reverse-engineer diagrams from code. In a survey, Brodie and Liu [27] could not find a single instance of entity–relationship modeling inside a sample of ten Fortune 100 companies.
IWE combines Word2vec with a semantic dictionary mapping technique to tackle the major challenges of information extraction from clinical texts, which include ambiguity of free text narrative style, lexical variations, use of ungrammatical and telegraphic phases, arbitrary ordering of words, and frequent appearance of abbreviations and acronyms ...