Dead Features
Description: Identifies features that cannot be included in any valid product configuration due to constraints and dependencies in the model. These are typically indicative of errors in the feature model.
Application: Helps in debugging and ensuring the correctness of the feature model.
Example: A feature that is excluded by all other features or cannot be selected due to contradictory constraints.
Code Examples
Command line usage
flamapy dead_features "path/to/feature/model"
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")
# This method could be called with the param with_sat: bool = True if you want to force pysat (useful for WASM enviroments)
result = fm.dead_features()
print(result)
Python flamapy framework usage
from flamapy.core.discover import DiscoverMetamodels
# Initiallize the dicover metamodel
dm = DiscoverMetamodels()
# Call the operation. Transformations will be automatically executed
# Use BDDConfigurations if you want to rely on BDD solver
result = dm.use_operation_from_file("PySATDeadFeatures","path/to/feature/model")
print(result)
Python flamapy framework ADVANCED usage
from flamapy.core.discover import DiscoverMetamodels
# Initiallize the dicover 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")
# Get the operation
operation = dm.get_operation(sat_model,'PySATDeadFeatures')
# Execute the operation
operation.execute(sat_model)
# Get and print the result
result = operation.get_result()
print(result)