diff --git a/src/mod_storage.cpp b/src/mod_storage.cpp
index cd9710d..8a465e3 100644
--- a/src/mod_storage.cpp
+++ b/src/mod_storage.cpp
@@ -4,6 +4,7 @@
 #include "storage/dd.h"
 #include "storage/model.h"
 #include "storage/matrix.h"
+#include "storage/modelcomponents.h"
 #include "storage/distribution.h"
 #include "storage/scheduler.h"
 #include "storage/prism.h"
@@ -41,4 +42,5 @@ PYBIND11_MODULE(storage, m) {
     define_expressions(m);
     define_scheduler<double>(m, "Double");
     define_distribution<double>(m, "Double");
+    define_sparse_modelcomponents(m);
 }
diff --git a/src/storage/modelcomponents.cpp b/src/storage/modelcomponents.cpp
index 53ecb76..95a738c 100644
--- a/src/storage/modelcomponents.cpp
+++ b/src/storage/modelcomponents.cpp
@@ -1,4 +1,5 @@
 #include "modelcomponents.h"
+
 #include "storm/models/sparse/StandardRewardModel.h"
 #include "storm/models/symbolic/StandardRewardModel.h"
 #include "storm/storage/sparse/ModelComponents.h"
@@ -7,14 +8,12 @@
 #include "storm/storage/BitVector.h"
 
 
-
-
-using stateLabeling = storm::models::sparse::StateLabeling;
+using StateLabeling = storm::models::sparse::StateLabeling;
 using BitVector = storm::storage::BitVector;
 template<typename ValueType> using SparseMatrix = storm::storage::SparseMatrix<ValueType>;
 template<typename ValueType> using SparseRewardModel = storm::models::sparse::StandardRewardModel<ValueType>;
 
-template<typename ValueType> using ModelComponents = storm::storage::sparse::ModelComponents<ValueType>;
+template<typename ValueType> using SparseModelComponents = storm::storage::sparse::ModelComponents<ValueType>;
 
 // others: todo
 // <storm::RationalFunction>;
@@ -22,39 +21,38 @@ template<typename ValueType> using ModelComponents = storm::storage::sparse::Mod
 // <storm::RationalNumber>
 // <double, storm::models::sparse::StandardRewardModel<storm::Interval>>
 
-// todo write tests
 // Parametric models, Valuetype: <storm::RationalFunction> todo
 
-void define_model_components(py::module& m) {
+void define_sparse_modelcomponents(py::module& m) {
 
-    py::class_<ModelComponents<double>>(m, "ModelComponents", "ModelComponents description..")
-            .def(py::init<SparseMatrix<double> const &, stateLabeling const &, std::unordered_map<std::string, SparseRewardModel<double>> const &,
-                bool, boost::optional<BitVector> const &, boost::optional<SparseMatrix<storm::storage::sparse::state_type>> const &>(),
-                "Construct from Prism program", py::arg("transition_matrix"), py::arg("state_labeling") = stateLabeling(),
-                py::arg("reward_models") =  std::unordered_map<std::string, SparseRewardModel<double>>(), py::arg("rate_transitions") = false,
-                py::arg("markovian_states") = boost::none, py::arg("player1_matrix") = boost::none)
+    py::class_<SparseModelComponents<double>>(m, "SparseModelComponents", "ModelComponents description..") //todo
 
-            .def(py::init<>()) // for rvalue ? todo
+        .def(py::init<SparseMatrix<double> const&, StateLabeling const&, std::unordered_map<std::string, SparseRewardModel<double>> const&,
+            bool, boost::optional<BitVector> const&, boost::optional<SparseMatrix<storm::storage::sparse::state_type>> const&>(),
+            py::arg("transition_matrix"), py::arg("state_labeling") = storm::models::sparse::StateLabeling(),
+            py::arg("reward_models") =  std::unordered_map<std::string, SparseRewardModel<double>>(), py::arg("rate_transitions") = false,
+            py::arg("markovian_states") = boost::none, py::arg("player1_matrix") = boost::none)
 
-            // General components (for all model types)
-            .def_readwrite("transition_matrix", &ModelComponents<double>::transitionMatrix)
-            .def_readwrite("state_labeling", &ModelComponents<double>::stateLabeling)
-            .def_readwrite("reward_models", &ModelComponents<double>::rewardModels, "Reward models associated with the model")
-            .def_readwrite("choice_labeling", &ModelComponents<double>::choiceLabeling, "A vector that stores a labeling for each choic")
-            .def_readwrite("state_valuations", &ModelComponents<double>::stateValuations, "A vector that stores for each state to which variable valuation it belongs")
-            .def_readwrite("choice_origins", &ModelComponents<double>::choiceOrigins, "Stores for each choice from which parts of the input model description it originates")
+        //.def(py::init<>()) // for rvalue ? todo
 
-            // POMDP specific components
-            .def_readwrite("observability_classes", &ModelComponents<double>::observabilityClasses, "The POMDP observations")
+        // General components (for all model types)
+        .def_readwrite("transition_matrix", &SparseModelComponents<double>::transitionMatrix)
+        .def_readwrite("state_labeling", &SparseModelComponents<double>::stateLabeling)
+        .def_readwrite("reward_models", &SparseModelComponents<double>::rewardModels, "Reward models associated with the model")
+        .def_readwrite("choice_labeling", &SparseModelComponents<double>::choiceLabeling, "A vector that stores a labeling for each choice")
+        .def_readwrite("state_valuations", &SparseModelComponents<double>::stateValuations, "A vector that stores for each state to which variable valuation it belongs")
+        .def_readwrite("choice_origins", &SparseModelComponents<double>::choiceOrigins, "Stores for each choice from which parts of the input model description it originates")
 
-            // Continuous time specific components (CTMCs, Markov Automata):
-            .def_readwrite("rate_transitions", &ModelComponents<double>::rateTransitions, "True iff the transition values (for Markovian choices) are interpreted as rates")
-            .def_readwrite("exit_Rates", &ModelComponents<double>::exitRates, "The exit rate for each state. Must be given for CTMCs and MAs, if rate_transitions is false. Otherwise, it is optional.")
-            .def_readwrite("markovian_states", &ModelComponents<double>::markovianStates, "A vector that stores which states are markovian (only for Markov Automata)")
+        // POMDP specific components
+        .def_readwrite("observability_classes", &SparseModelComponents<double>::observabilityClasses, "The POMDP observations")
 
-            // Stochastic two player game specific components:
-            .def_readwrite("player1_matrix", &ModelComponents<double>::observabilityClasses, "Matrix of player 1 choices (needed for stochastic two player games")
+        // Continuous time specific components (CTMCs, Markov Automata):
+        .def_readwrite("rate_transitions", &SparseModelComponents<double>::rateTransitions, "True iff the transition values (for Markovian choices) are interpreted as rates")
+        .def_readwrite("exit_Rates", &SparseModelComponents<double>::exitRates, "The exit rate for each state. Must be given for CTMCs and MAs, if rate_transitions is false. Otherwise, it is optional.")
+        .def_readwrite("markovian_states", &SparseModelComponents<double>::markovianStates, "A vector that stores which states are markovian (only for Markov Automata)")
 
-            ;
+        // Stochastic two player game specific components:
+        .def_readwrite("player1_matrix", &SparseModelComponents<double>::observabilityClasses, "Matrix of player 1 choices (needed for stochastic two player games")
+        ;
 
 }
\ No newline at end of file
diff --git a/src/storage/modelcomponents.h b/src/storage/modelcomponents.h
index fdccc99..50b053f 100644
--- a/src/storage/modelcomponents.h
+++ b/src/storage/modelcomponents.h
@@ -1,8 +1,8 @@
-#ifndef PYSTORM_MODELCOMPONENTS_H
-#define PYSTORM_MODELCOMPONENTS_H
+#ifndef PYTHON_STORAGE_SPARSEMODELCOMPONENTS_H
+#define PYTHON_STORAGE_SPARSEMODELCOMPONENTS_H
 
 #include "common.h"
 
-void define_model_components(py::module& m);
+void define_sparse_modelcomponents(py::module& m);
 
-#endif /* PYSTORM_MODELCOMPONENTS_H */
+#endif /* PYTHON_STORAGE_SPARSEMODELCOMPONENTS_H */
\ No newline at end of file