diff --git a/src/backends/reference/workloads/Slice.cpp b/src/backends/reference/workloads/Slice.cpp
index 0223cdc..e972524 100644
--- a/src/backends/reference/workloads/Slice.cpp
+++ b/src/backends/reference/workloads/Slice.cpp
@@ -5,9 +5,9 @@
 
 #include "Slice.hpp"
 
+#include <armnn/utility/Assert.hpp>
 #include <armnn/utility/IgnoreUnused.hpp>
 
-#include <boost/assert.hpp>
 #include <boost/numeric/conversion/cast.hpp>
 
 namespace armnn
@@ -22,11 +22,11 @@
     const TensorShape& inputShape = inputInfo.GetShape();
     const unsigned int numDims    = inputShape.GetNumDimensions();
 
-    BOOST_ASSERT(descriptor.m_Begin.size() == numDims);
-    BOOST_ASSERT(descriptor.m_Size.size()  == numDims);
+    ARMNN_ASSERT(descriptor.m_Begin.size() == numDims);
+    ARMNN_ASSERT(descriptor.m_Size.size()  == numDims);
 
     constexpr unsigned int maxNumDims = 4;
-    BOOST_ASSERT(numDims <= maxNumDims);
+    ARMNN_ASSERT(numDims <= maxNumDims);
 
     std::vector<unsigned int> paddedInput(4);
     std::vector<unsigned int> paddedBegin(4);
@@ -65,10 +65,10 @@
     unsigned int size2  = paddedSize[2];
     unsigned int size3  = paddedSize[3];
 
-    BOOST_ASSERT(begin0 + size0 <= dim0);
-    BOOST_ASSERT(begin1 + size1 <= dim1);
-    BOOST_ASSERT(begin2 + size2 <= dim2);
-    BOOST_ASSERT(begin3 + size3 <= dim3);
+    ARMNN_ASSERT(begin0 + size0 <= dim0);
+    ARMNN_ASSERT(begin1 + size1 <= dim1);
+    ARMNN_ASSERT(begin2 + size2 <= dim2);
+    ARMNN_ASSERT(begin3 + size3 <= dim3);
 
     const unsigned char* input = reinterpret_cast<const unsigned char*>(inputData);
     unsigned char* output      = reinterpret_cast<unsigned char*>(outputData);