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Domain-Specific Language (DSL) development for modelling variability, using Eclipse XTEXT and XTEND.

Java 20.64% Xtend 33.50% TypeScript 37.88% JavaScript 3.03% CSS 2.76% HTML 2.19%
dsl domain-specific-language feature-modeling feature-model xtext xtend eclipse java

dsl-feature-modelling's Introduction

Hack your Domain-Specific Language - Alexis Facques

Domain-Specific Languages (DSL) - Master Cloud Computing & Services Project - Université de Rennes 1

Domain-Specific Language (DSL) development for modelling variability, using JAVA, Eclipse XTEXT and XTEND. This includes :

  • Creating an abstract syntax and grammar for our DSL;
  • Developing model transformations towards other file formats (JSON, Natural Language, CNF);
  • Solving (Deadlock feature detection, satisfiability...) random Feature Models using our DSL and implemented solvers such as Sat4J.

Practical uses of our DSL will be shown through the development of a feature model configurator, using NodeJS.

External links

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

  • Clone this repo, build the docker image:
    git clone https://github.com/alexisfacques/DSL-Feature-Modelling.git
    cd DSL-Feature-Modelling/web
    docker build --tag featuremodelling .
  • Run the image as such:

docker run -v -p 8080:8080 featuremodelling

  • Web feature model configurator is available on http//localhost:8080.

Project milestones - Table of contents

Project report is available here

Milestone 1 - Basic Feature Model and XTEXT

Worth checking:

Milestone 2 - Transformation of Feature Models

Worth checking:

Milestone 3 - For Feature Model to Wizards and configurator

Worth checking:

License

This project is licensed under the MIT License.

dsl-feature-modelling's People

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