flamapy-sdd 2.6.0.dev11

flamapy-sdd is a plugin to flamapy providing Sentential Decision Diagram (SDD) knowledge compilation for exact analysis of feature models

flamapy-sdd

flamapy-sdd is a flamapy plugin that compiles a feature model into a Sentential Decision Diagram (SDD) for exact analysis.

SDD is a knowledge-compilation language (a subset of d-DNNF, strictly more succinct than OBDD in cases), so it supports exact, polytime queries — model counting, consistency, conditioning — and can stay compact on models where a BDD blows up. It complements the ecosystem:

• flamapy-bdd compiles to OBDD (exact, but can explode on large models).
• flamapy-sharpsat gives an approximate count (ApproxMC) for very large models.
• flamapy-sdd gives an exact count via a more succinct compilation, on top of the SAT CNF.

It uses PySDD.

Installation

pip install flamapy-sdd

Operations

Operation	Class
Exact number of configurations	SDDConfigurationsNumber
Satisfiable (non-void)	SDDSatisfiable
Core features	SDDCoreFeatures
Dead features	SDDDeadFeatures

Usage

from flamapy.metamodels.fm_metamodel.transformations import UVLReader
from flamapy.metamodels.sdd_metamodel.transformations import FmToSDD
from flamapy.metamodels.sdd_metamodel.operations import SDDConfigurationsNumber

fm = UVLReader('model.uvl').transform()
sdd_model = FmToSDD(fm).transform()
count = SDDConfigurationsNumber().execute(sdd_model).get_result()

License

GPL-3.0-or-later.