flamapy-fm

The feature model metamodel plugin for flamapy: the feature model classes plus readers and writers for many formats (UVL, FeatureIDE, Glencoe, AFM, SPLOT, JSON, …).

Documentation: https://docs.flamapy.org/framework/plugins/feature_model_plugin

Installation

pip install flamapy-fm

Operations

Beyond the metrics/analysis operations (core/dead features, atomic sets, branching factor, …), this plugin includes a random feature-model generator:

• GenerateRandomFeatureModel — builds a random synthetic FeatureModel object directly (random tree of mandatory/optional/or/alternative groups plus random cross-tree constraints; an optional void flag makes it unsatisfiable). Useful for benchmarking, testing, and building corpora for learning-based operations. Serialize it to UVL (or any format) with the writer transformations if you need text.

from flamapy.metamodels.fm_metamodel.operations import GenerateRandomFeatureModel

op = GenerateRandomFeatureModel()
op.set_num_features(20)
op.set_max_constraints(5)
op.set_seed(0)
fm = op.execute().get_result()   # -> FeatureModel