diff --git a/test/data/workflow.xml b/test/data/workflow.xml
index 7a97759..cb5af2b 100644
--- a/test/data/workflow.xml
+++ b/test/data/workflow.xml
@@ -2,9 +2,9 @@
 <workflow>
     <actor name="input">
         <output>
-            <parameter name="inmodel" value="$CTOOLS/share/models/crab.xml" />
-            <parameter name="caldb"   value="prod2" />
-            <parameter name="irf"     value="South_50h" />
+            <parameter name="inmodel" value="data/crab.xml" />
+            <parameter name="caldb"   value="irf" />
+            <parameter name="irf"     value="cta_dummy_irf" />
             <parameter name="edisp"   value="no" />
             <parameter name="deadc"   value="0.95" />
             <parameter name="ra"      value="83.63" />
@@ -16,7 +16,7 @@
             <parameter name="tmax"    value="1800.0" />
             <parameter name="chatter" value="2" />
             <parameter name="clobber" value="yes" />
-            <parameter name="debug"   value="no" />
+            <parameter name="debug"   value="yes" />
             <parameter name="mode"    value="ql" />
         </output>
     </actor>
diff --git a/test/test_csworkflow.py b/test/test_csworkflow.py
index ef8d0f5..1c78f8c 100755
--- a/test/test_csworkflow.py
+++ b/test/test_csworkflow.py
@@ -78,7 +78,8 @@ class Test(gammalib.GPythonTestSuite):
 
         # Execute csworkflow, make sure we catch any exception
         try:
-            rc = os.system(cmd+" >/dev/null 2>&1")
+            rc = os.system(cmd)
+            #rc = os.system(cmd+" >/dev/null 2>&1")
         except:
             pass
 
@@ -137,13 +138,15 @@ class Test(gammalib.GPythonTestSuite):
 
         # Check fit result values
         self.test_value(models['Crab'][2].value(),
-                        5.73787e-16, 1.0e-5, 'Crab prefactor')
+                        5.71055e-16, 1.0e-5, 'Crab prefactor')
         self.test_value(models['Crab'][3].value(),
-                        -2.47386, 1.0e-5, 'Crab index')
-        self.test_value(models['CTABackgroundModel'][0].value(),
-                        1.01414, 1.0e-5, 'Background model prefactor')
-        self.test_value(models['CTABackgroundModel'][1].value(),
-                        0.00242827, 1.0e-5, 'Background model index')
+                        -2.50996, 1.0e-5, 'Crab index')
+        self.test_value(models['Background'][0].value(),
+                        2.98499, 1.0e-5, 'Background model sigma')
+        self.test_value(models['Background'][1].value(),
+                        6.27131e-05, 1.0e-5, 'Background model prefactor')
+        self.test_value(models['Background'][2].value(),
+                        -1.85037, 1.0e-5, 'Background model index')
 
         # Return
         return