4 files changed, 5 insertions, 5 deletions
diff --git a/tests/validation/CL/BatchNormalizationLayer.cpp b/tests/validation/CL/BatchNormalizationLayer.cpp
index c29a400402..6884131582 100644
--- a/tests/validation/CL/BatchNormalizationLayer.cpp
+++ b/tests/validation/CL/BatchNormalizationLayer.cpp
@@ -59,7 +59,7 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Ran
                shape0, shape1, epsilon, dt)
 {
     // Set fixed point position data type allowed
-    int fixed_point_position = (arm_compute::is_data_type_fixed_point(dt)) ? 3 : 0;
+    const int fixed_point_position = (arm_compute::is_data_type_fixed_point(dt)) ? 3 : 0;
 
     // Create tensors
     CLTensor src   = create_tensor<CLTensor>(shape0, dt, 1, fixed_point_position);
diff --git a/tests/validation/CPP/BatchNormalizationLayer.cpp b/tests/validation/CPP/BatchNormalizationLayer.cpp
index 37e2d55bf1..e4446d1694 100644
--- a/tests/validation/CPP/BatchNormalizationLayer.cpp
+++ b/tests/validation/CPP/BatchNormalizationLayer.cpp
@@ -44,7 +44,7 @@ SimpleTensor<T> batch_normalization_layer(const SimpleTensor<T> &src, const Simp
     const auto cols       = static_cast<int>(src.shape()[0]);
     const auto rows       = static_cast<int>(src.shape()[1]);
     const auto depth      = static_cast<int>(src.shape()[2]);
-    int        upper_dims = src.shape().total_size() / (cols * rows * depth);
+    const int  upper_dims = src.shape().total_size() / (cols * rows * depth);
 
     for(int r = 0; r < upper_dims; ++r)
     {
@@ -88,7 +88,7 @@ SimpleTensor<T> batch_normalization_layer(const SimpleTensor<T> &src, const Simp
     const auto cols       = static_cast<int>(src.shape()[0]);
     const auto rows       = static_cast<int>(src.shape()[1]);
     const auto depth      = static_cast<int>(src.shape()[2]);
-    int        upper_dims = src.shape().total_size() / (cols * rows * depth);
+    const int  upper_dims = src.shape().total_size() / (cols * rows * depth);
 
     for(int r = 0; r < upper_dims; ++r)
     {
diff --git a/tests/validation/Helpers.h b/tests/validation/Helpers.h
index 6b1c4b9026..b5e156c5f7 100644
--- a/tests/validation/Helpers.h
+++ b/tests/validation/Helpers.h
@@ -186,7 +186,7 @@ void fill_lookuptable(T &&table)
 template <typename T>
 std::pair<T, T> get_batchnormalization_layer_test_bounds(int fixed_point_position = 1)
 {
-    bool is_float = std::is_floating_point<T>::value;
+    const bool is_float = std::is_floating_point<T>::value;
     std::pair<T, T> bounds;
 
     // Set initial values
diff --git a/tests/validation/NEON/BatchNormalizationLayer.cpp b/tests/validation/NEON/BatchNormalizationLayer.cpp
index b401f5585e..a1421d0b17 100644
--- a/tests/validation/NEON/BatchNormalizationLayer.cpp
+++ b/tests/validation/NEON/BatchNormalizationLayer.cpp
@@ -61,7 +61,7 @@ DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(datasets::Ran
                shape0, shape1, epsilon, dt)
 {
     // Set fixed point position data type allowed
-    int fixed_point_position = (arm_compute::is_data_type_fixed_point(dt)) ? 3 : 0;
+    const int fixed_point_position = (arm_compute::is_data_type_fixed_point(dt)) ? 3 : 0;
 
     // Create tensors
     Tensor src   = create_tensor<Tensor>(shape0, dt, 1, fixed_point_position);