Variation Points

Description: Returns the variation points of the feature model. A variation point is a feature that has at least one non-mandatory child relation, representing a decision point in the model. The result maps each variation point name to the list of its variant (non-mandatory) feature names.

Application: Useful for understanding the configurable parts of a product line and which features participate in variability decisions.

Example: Identifying which features in a car model act as selection points (e.g., Engine type offering Diesel, Petrol, or Electric as variants).

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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")
result = fm.variation_points()
print(result)

Python flamapy framework usage

from flamapy.core.discover import DiscoverMetamodels
# Initialize the discover metamodel
dm = DiscoverMetamodels()
# Call the operation. Transformations will be automatically executed
result = dm.use_operation_from_file("FMVariationPoints", "path/to/feature/model")
print(result)

Python flamapy framework ADVANCED 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')
# Get the operation
operation = dm.get_operation(feature_model, 'FMVariationPoints')
# Execute the operation
operation.execute(feature_model)
# Get and print the result
result = operation.get_result()
print(result)