Analyze your own project

You now know how to analyze a model in Moose. This page explains how to do the same with your own project.

1. Create a model of your project

The tool to use depends on the language of your project.

Java

Use VerveineJ, the Java parser of Moose. It is available as a release or as a docker image.

./verveinej.sh -format json -o MyProject.json -autocp ../MyProjectDependenciesOrLib/ ../MyProjectSrcFolder/

On Windows, use verveinej.bat instead of verveinej.sh.

Meta-model to select when importing: FamixJavaModel.

TypeScript

Use ts2famix, described in this external tutorial.

Python

The Python importer runs directly inside Moose: see the Python importer page.

C / C++

Use VerveineC. It is less stable than the other parsers: do not hesitate to contact us.

SQL database

FamixSQL builds a model directly from a database connection: see Getting started with FamixSQL.

Git repository

To analyze the history and activity of a GitHub or GitLab project, see GitProjectHealth.

2. Import the model in Moose

1. Open the Models browser from the Moose menu.
2. Click on the JSON button and select your model file. You can also drag and drop the file into Moose.
3. Select the meta-model corresponding to your language.
4. (Optional) Right-click on the model, choose Utilities >> Set root folder, and select the folder of your project to browse its source code.

Tip

Importing a big model can take some time. The Importing and exporting models page gives other ways to load a model, including from a script.

3. Explore your model

Moose IDE browsersNavigate in your model, run queries and visualize the results without writing code.

Typical queriesReady-to-use queries to find classes, dependencies, dead code...