Feature Model FLAMAPY
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 goal is to improve the usability of FLAMA making the framework more accessible to the public. However, this API only works with feature model analysis, since the scope is fixed. In the documentation you will be able to find all the operations, sample data to try and expected outputs for each operation. Moreover, in the official repository linked in the footer you can find code examples for each operation.
This application provides a final product of the Flama framework focused on the analysis of feature models targuetting mainly UVL based feature-models.Main Features
The main features of the FLAMA framework are listed below:- 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.
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