Configurations With N Features

Description: Returns all valid configurations that have exactly N features selected. This is a slice of the product distribution at a specific size.

Application: Useful when you want to enumerate or analyse only the configurations of a specific size, for example to test products with a fixed number of active features.

Example: Finding all valid smartphone configurations that activate exactly 5 features.

---

Code Examples

Python easy to use facade usage

from flamapy.interfaces.python.flamapy_feature_model import FLAMAFeatureModel
# Load the feature model
fm = FLAMAFeatureModel("path/to/feature/model")
# Replace 5 with the desired number of features
result = fm.configurations_with_n_features(n=5)
print(result)

Python flamapy framework usage

from flamapy.core.discover import DiscoverMetamodels
# Initialize the discover metamodel
dm = DiscoverMetamodels()
# Get the fm metamodel representation
feature_model = dm.use_transformation_t2m("path/to/feature/model", 'fm')
# Manually call a M2M transformation to BDD
bdd_model = dm.use_transformation_m2m(feature_model, "bdd")
# Get the operation
operation = dm.get_operation(bdd_model, 'BDDConfigurationsWithNFeatures')
operation.set_n_features(5)
# Execute the operation
operation.execute(bdd_model)
# Get and print the result
result = list(operation.get_result())
print(result)