diff --git a/prism/src/explicit/AccumulationProductRegular.java b/prism/src/explicit/AccumulationProductRegular.java
index a3609342..a5214a74 100644
--- a/prism/src/explicit/AccumulationProductRegular.java
+++ b/prism/src/explicit/AccumulationProductRegular.java
@@ -101,7 +101,9 @@ public class AccumulationProductRegular<M extends Model> extends AccumulationPro
 		final AccumulationProductRegular<MDP> result = new AccumulationProductRegular<MDP>(graph);
 		
 		// Create auxiliary data
+		mc.getLog().println("  [AP] generating aux data...");
 		result.createAuxData(graph, accexp, rewards, mc);
+		mc.getLog().println("       done.");
 
 		class AccumulationMDPProductOperator implements MDPProductOperator
 		{
@@ -240,7 +242,6 @@ public class AccumulationProductRegular<M extends Model> extends AccumulationPro
 	 * @throws PrismException
 	 */
 	public void createAuxData(final Model graph, final ExpressionAccumulation accexp, final Vector<? extends Rewards> rewards, final ProbModelChecker mc) throws PrismException {
-		mc.getLog().println(" [AP] generating aux data for " + graph + "\n and " + accexp);
 		// Build labels and DFA
 		AccumulationModelChecker accMc = new AccumulationModelChecker();
 		ExpressionRegular reg = (ExpressionRegular)accMc.checkMaximalStateFormulas(mc, graph, accexp.getRegularExpression(), labels);
@@ -261,8 +262,6 @@ public class AccumulationProductRegular<M extends Model> extends AccumulationPro
 		}
 		
 		numberOfTracks = automaton.getLongestPathLength()+1;
-		mc.getLog().println(" [AP] tracks:  " + numberOfTracks);
 		numberOfWeights= rewards.size();
-		mc.getLog().println(" [AP] weights: " + numberOfWeights);
 	}
 }
diff --git a/prism/src/explicit/AccumulationTransformation.java b/prism/src/explicit/AccumulationTransformation.java
index 2ba07edd..143d5701 100644
--- a/prism/src/explicit/AccumulationTransformation.java
+++ b/prism/src/explicit/AccumulationTransformation.java
@@ -124,6 +124,7 @@ public class AccumulationTransformation<M extends Model> implements ModelExpress
 		}
 		
 		// Transform the model
+		mc.getLog().println(" [AT] getting the good states...");
 		BitSet goodStates = product.getGoodStates();
 		String label = gensymLabel("good", product.getTransformedModel());
 		
@@ -132,6 +133,7 @@ public class AccumulationTransformation<M extends Model> implements ModelExpress
 		//System.out.println("Good states " + goodStates);
 		
 		// Transform the expression
+		mc.getLog().println(" [AT] replacing the formula...");
 		ReplaceAccumulationExpression replace = new ReplaceAccumulationExpression(accexp, label, product.getNumberOfTracks()-1);
 		transformedExpression = (Expression)transformedExpression.accept(replace);
 		mc.getLog().println(" [AT] " + originalExpression.toString() + "\n" +