FlamaPy

Welcome to the flamapy website!

FlamaPy is a Python-based AAFM framework that takes into consideration previous AAFM tool designs and enables multi-solver and multi-metamodel support for the integration of AAFM tooling on the Python ecosystem.

The main features of the framework are:

• Easy to extend by enabling the creation of new plugins following a semi-automatic generator approach.
• Support multiple variability models. Currently, it provides support for cardinality-based feature models. However, it is easy to integrate others such as attributed feature models
• Support multiple solvers. Currently, it provides support for the PySAT metasolver, which enables more than ten different solvers.
• Support multiple operations. It is developed, having in mind multi-model operations such as those depicted by Familiar and single-model operations.

In this wiki you’ll find the documentation of this project.

• 1. Installation
• 2. Usage
• 3. Development

Google colab First steps

• Google colab project

Available plugins and related projects

flamapy-fm flamapy-sat flamapy-bdd

Changelog

Detailed changes for each release are documented in the release notes

Contributing

See CONTRIBUTING.md