FaMaPy 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.

# Famapy

FaMaPy 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.

## Documentation

All the proyect related documentation can be found in wiki format at wiki

## Changelog

Detailed changes for each release are documented in the release notes

## Release history Release notifications | RSS feed

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