Conflict Detection

Description: Identifies conflicts within the feature model by detecting combinations of features that cannot coexist due to constraints.

Application: Useful for debugging and ensuring the consistency of feature models by identifying conflicting feature combinations that violate constraints.

Example: Detecting conflicts in a car feature model where certain features like ‘Sunroof’ and ‘Convertible’ cannot be selected together.

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Code Examples

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("PySATConflictDetection", "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 using the transformation required to get to the fm metamodel
feature_model = dm.use_transformation_t2m("path/to/feature/model", 'fm')
# Manually call a M2M transformation to Pysat
sat_model = dm.use_transformation_m2m(feature_model, "pysat_diagnosis")
# Get the operation
operation = dm.get_operation(sat_model, 'PySATConflictDetection')
# Execute the operation
operation.execute(sat_model)
# Get and print the result
result = operation.get_result()
print(result)