diff --git a/src/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.cpp b/src/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.cpp
new file mode 100644
index 000000000..82590e31e
--- /dev/null
+++ b/src/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.cpp
@@ -0,0 +1,8 @@
+#include "src/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.h"
+
+bool SparseMarkovAutomatonCslModelCheckerOptionsRegistered = storm::settings::Settings::registerNewModule([] (storm::settings::Settings* instance) -> bool {
+    
+	instance->addOption(storm::settings::OptionBuilder("GmmxxLinearEquationSolver", "digiprecision", "", "Precision used for iterative solving of linear equation systems").addArgument(storm::settings::ArgumentBuilder::createDoubleArgument("precision value", "Precision").setDefaultValueDouble(1e-4).addValidationFunctionDouble(storm::settings::ArgumentValidators::doubleRangeValidatorExcluding(0.0, 1.0)).build()).build());
+    
+	return true;
+});
\ No newline at end of file
diff --git a/src/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.h b/src/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.h
index 378e8803a..80943c8e0 100644
--- a/src/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.h
+++ b/src/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.h
@@ -179,7 +179,7 @@ namespace storm {
 
                     // (1) Compute the accuracy we need to achieve the required error bound.
                     ValueType maxExitRate = this->getModel().getMaximalExitRate();
-                    ValueType delta = (2 * storm::settings::Settings::getInstance()->getOptionByLongName("precision").getArgument(0).getValueAsDouble()) / (upperBound * maxExitRate * maxExitRate);
+                    ValueType delta = (2 * storm::settings::Settings::getInstance()->getOptionByLongName("digiprecision").getArgument(0).getValueAsDouble()) / (upperBound * maxExitRate * maxExitRate);
                     
                     // (2) Compute the number of steps we need to make for the interval.
                     uint_fast64_t numberOfSteps = static_cast<uint_fast64_t>(std::ceil((upperBound - lowerBound) / delta));
@@ -203,10 +203,8 @@ namespace storm {
                         // Create the starting value vectors for the next value iteration based on the results of the previous one.
                         storm::utility::vector::setVectorValues<ValueType>(vAllProbabilistic, ~markovianStates % goalStates, storm::utility::constGetOne<ValueType>());
                         storm::utility::vector::setVectorValues<ValueType>(vAllProbabilistic, ~markovianStates % ~goalStates, vProbabilistic);
-                        std::cout << vAllProbabilistic << std::endl;
                         storm::utility::vector::setVectorValues<ValueType>(vAllMarkovian, markovianStates % goalStates, storm::utility::constGetOne<ValueType>());
                         storm::utility::vector::setVectorValues<ValueType>(vAllMarkovian, markovianStates % ~goalStates, vMarkovian);
-                        std::cout << vAllMarkovian << std::endl;
                         
                         // Compute the number of steps to reach the target interval.
                         numberOfSteps = static_cast<uint_fast64_t>(std::ceil(lowerBound / delta));
diff --git a/src/storm.cpp b/src/storm.cpp
index 0babe7612..0ffd18d92 100644
--- a/src/storm.cpp
+++ b/src/storm.cpp
@@ -463,10 +463,12 @@ int main(const int argc, const char* argv[]) {
                     std::shared_ptr<storm::models::MarkovAutomaton<double>> markovAutomaton = parser.getModel<storm::models::MarkovAutomaton<double>>();
                     markovAutomaton->close();
                     storm::modelchecker::csl::SparseMarkovAutomatonCslModelChecker<double> mc(*markovAutomaton, std::shared_ptr<storm::solver::AbstractNondeterministicLinearEquationSolver<double>>(new storm::solver::AbstractNondeterministicLinearEquationSolver<double>()));
-                    std::cout << mc.checkExpectedTime(true, markovAutomaton->getLabeledStates("goal")) << std::endl;
-                    std::cout << mc.checkLongRunAverage(true, markovAutomaton->getLabeledStates("goal")) << std::endl;
-                    // std::cout << mc.checkTimeBoundedEventually(true, markovAutomaton->getLabeledStates("goal"), 0, 1) << std::endl;
-                    // std::cout << mc.checkTimeBoundedEventually(true, markovAutomaton->getLabeledStates("goal"), 1, 2) << std::endl;
+//                    std::cout << mc.checkExpectedTime(true, markovAutomaton->getLabeledStates("goal")) << std::endl;
+//                    std::cout << mc.checkExpectedTime(false, markovAutomaton->getLabeledStates("goal")) << std::endl;
+//                    std::cout << mc.checkLongRunAverage(true, markovAutomaton->getLabeledStates("goal")) << std::endl;
+//                    std::cout << mc.checkLongRunAverage(false, markovAutomaton->getLabeledStates("goal")) << std::endl;
+//                    std::cout << mc.checkTimeBoundedEventually(true, markovAutomaton->getLabeledStates("goal"), 0, 1) << std::endl;
+                    std::cout << mc.checkTimeBoundedEventually(true, markovAutomaton->getLabeledStates("goal"), 1, 2) << std::endl;
                     break;
                 }
 				case storm::models::Unknown: