diff --git a/src/backends/backendsCommon/test/layerTests/BatchNormalizationTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/BatchNormalizationTestImpl.cpp
index b441405..928918c 100644
--- a/src/backends/backendsCommon/test/layerTests/BatchNormalizationTestImpl.cpp
+++ b/src/backends/backendsCommon/test/layerTests/BatchNormalizationTestImpl.cpp
@@ -94,7 +94,8 @@
     AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());
     AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());
 
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchNormalization(descriptor, info);
+    std::unique_ptr<armnn::IWorkload> workload
+            = workloadFactory.CreateWorkload(armnn::LayerType::BatchNormalization, descriptor, info);
 
     inputHandle->Allocate();
     outputHandle->Allocate();
@@ -192,7 +193,8 @@
         },
         qScale, qOffset);
 
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchNormalization(data, info);
+    std::unique_ptr<armnn::IWorkload> workload
+            = workloadFactory.CreateWorkload(armnn::LayerType::BatchNormalization, data, info);
 
     inputHandle->Allocate();
     outputHandle->Allocate();
@@ -672,8 +674,10 @@
     SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get());
     SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get());
 
-    std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateBatchNormalization(data, info);
-    std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateBatchNormalization(refData, refInfo);
+    std::unique_ptr<armnn::IWorkload> workload
+            = workloadFactory.CreateWorkload(armnn::LayerType::BatchNormalization, data, info);
+    std::unique_ptr<armnn::IWorkload> workloadRef
+            = refWorkloadFactory.CreateWorkload(armnn::LayerType::BatchNormalization, refData, refInfo);
 
     inputHandle->Allocate();
     outputHandle->Allocate();