# agileuml

**Repository Path**: mirrors_eclipse/agileuml

## Basic Information

- **Project Name**: agileuml
- **Description**: AgileUML tools for MDE using UML
- **Primary Language**: Unknown
- **License**: EPL-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-22
- **Last Updated**: 2026-07-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# agileuml
This repository contains the source files for the Eclipse Agile UML project
These are the core source files of the Agile UML toolset. 
Plugins, such as the UML to C and UML to Python translators are available as uml2Ca.zip, uml2Cb.zip and uml2py.zip, as are libraries in libraries*.zip and code generators in cg*.zip

Program translation between Java and Python, C and JavaScript is supported by translators.zip

The executable for the toolset is in umlrsds.jar

This can be executed as java -jar umlrsds.jar on the command line.

The toolset expects a directory called 'output' to exist in its execution directory, 
'output' is used to hold all input and output files, such as metamodels and models.

A build script is provided in executables/build.bat, which can be run directly as a command on Windows. 

To build the executable on Linux, run the following from the command line:

```bash
jar cvfm umlrsds.jar UMLRSDSManifest.txt *.class
```
then run umlrsds.jar from the command line like so:

```bash
chmod +x umlrsds.jar # needed on Unix/Unix-like systems to make the JAR file executable
java -jar umlrsds.jar
```

Further information, and a manual for the toolset, can be found in the file umlrsds20.pdf and at https://www.agilemde.co.uk

Videos on the use of the toolset can be viewed at: https://www.youtube.com/channel/UCmhEP7QYIHH9MhyEjho_tdQ/

Contributors to AgileUML and associated research include Kevin Lano, Pauline Kan, Kelly Androutsopoulos, David Clark, Shekoufeh Kolahdouz-Rahimi, Sobhan Yassipour-Tehrani, Hessa Alfraihi, Lyan Alwakeel, Shichao Fang, Kunxiang Jin, Zishan Rahman, Asad Rahman and Qiaomu Xue.