20090109 Dsl2cpp Md Workbench

Ander Zubizarreta 9/1/2009

DSL to C++

Sysdef code generation using MDWorkbench

Problem Definition

• We have a source XML file describing a system, according to a XML Schema metamodel

• System has many elements of the type Controllable

• The goal is to generate a cpp implementation for each Controllable type element

Problem definition

XML Model

Model to Text transformation

C++ code

XSD

Problem Definition

Source• XML file

– The XML file describes a system– The system has many

controllables– Each controllable has inputs,

outputs, params, faults…

Target• .h and .cpp file for each Controllable

– The generation of the .H file is straightforward

– The generation of the .CPP file comprises several RuleSets

• Locals:– For each

input/output/param/fault/timer » define a local of that type

• doInit – \\ initialize each local variable– \\ by getting its value (using

mappings in wtsl)

We’ll use MDWorkbench for that purpose

WHY IS USED?

MDWorkbench

• MDWorkbench is a model-driven engineering development environment to build:– Source code and text generators– Word documentation– Model transformers

• Eclipse-based IDE– Java code may be used in MDWorkbench projects

• Developed by Sodius SAS

MDWorkbench

Solution

Model

Metamodel

Rules Templates

C++ code

Steps

1. Import the metamodel to MDWorkbench

2. Browse the model using MDWorkbench

3. Create the rulesets and templates for code generation

4. Run the generator

1. Importing a metamodel

• MDWorkbench natively allows to work with Ecore, Relational or UML models

• New metamodels can be imported, allowing to work with different kind of models

• Importing a metamodel consists in creating an Eclipse plugin which will be used by MDWorkbench

• Our metamodel is defined using XML Schema

1. Importing a metamodel1

2

3

Select the specific

file

4

1. Importing a metamodelCreating Plugin

• We now have to export the created project as a plugin

• When we restart MDWorkbench the new metamodel will be available

2. Browsing the model

• Once the metamodel has been imported we can open the model in MDWorkbench and browse it

3. Writing the generators

• Rulesets, text templates and scripts can be used to generate code– Rulesets are written in MQL– Templates ar written in TGL– Scripts can be written in MQL, TGL or Java

• First sketch of the solution:– Two code templates: one for .h files and other for .cpp files– A ruleset: to apply the templates to each controllable in the model– Scripts: we’ll call to some scrpits from the templates to get the

elements of the controllable

3. Writing the generators

• Ruleset:– cppGenerator.mqr

• Templates:– hGen.tgt– cppGen.tgt

• Scripts:– doGetInitializations()– doGetLocalsDefinitions()

3. Writing the generatorshGen.tgt

Refer to “20081202_MDWorkbench_Tool.ppt” for a detailed overview

of Templates

3. Writing the generatorscppGen.Tgt (call to script)

Refer to “20081202_MDWorkbench_Tool.ppt”

for a detailed overview of Templates

3. Writing the generatorsScripts

Refer to “20081202_MDWorkbench_Tool.ppt”

for a detailed overview of Scripts

3. Writing the generatorsRuleset

• cppGeneration.mqr: applies the text templates to each controllable

Refer to “20081202_MDWorkbench_Tool.ppt”

for a detailed overview of Rulesets

4. Running the generatorRun configuration

• Select the ruleset as the main element we want to run and the input model

4. Running the generatorOutput

• Console output: • Report:

4. Running the generatorOutput

• Part of a generated .cpp file: