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@moosetechnology

moosetechnology

Stars
221
Global Org. Rank 38,308 (Top 13 %)
Registered over 9 years ago
Most used languages

Smalltalk
87.1 %

Java
9.7 %

HTML
3.2 %

Moose

MOOSE - Platform for software and data analysis.

PetitParser

Petit Parser is a framework for building parsers.

Famix

An abstract representation of source code. Famix is generic and can describe applications in multiple programming languages.

MooseIDE

New Tools for Moose

MooseAlgos

Moose Algos contains generic libraries for various analysis algorithms.

ClassNameAnalyser

moose-wiki

A wiki gathering documentation related to Moose project.

Fame

Fame is a meta-modeling framework for executable models.

PowerBuilderParser

This project provide full parser for Powerbuilder and a meta-model to generate a model from Powerbuilder source files

FAST

Represent the AST of programing language

Famix-OpenTelemetry

Famix metamodel for OpenTelemetry

LabelContractor

HierarchicalVisualizations

Glamour

Glamour is an engine for building browsers used in the Moose analysis platform.

ClassBlueprint

VerveineC-Cpp

A C/C++ to Famix extractor ( "https://en.wikipedia.org/wiki/Moose_(analysis)" )

Metamodel-Examples

Famix-UnitTest

Famix metamodel for unit tests

AnnouncerCentricDebugger

FamixPresentation

A presentation layer independant of a GUI for Famix.

FAMIX2Java

A visitor to export Java Model to Java code

gt-v1

Glamorous Toolkit - the moldable integrated development environment for Pharo

Moose-Critics

A Critique Browser-like for Famix models in Moose

Famix-Cpp

Famix metamodel for C/C++

TraitsVisualization

HeatMap

FASTRefactor

Refactoring operations on the Abstract Syntax Tree (AST) models in the Famix AST (FAST) framework.

Moose-Easy

Tools to facilitate access to Moose, e.g., generating MSE files from source code

Famix-Value

Famix metamodel for runtime values

FAST-JAVA

Represent the Java AST with Famix

FameJava

Fame is a concise meta-meta-model, and this project holds its Java implementation. This is a fork of the original implementation by Adrian Kuhn and Toon Verwaest.