diff --git a/numba_dpex/tests/experimental/kernel_api_overloads/spv_overloads/test_barriers.py b/numba_dpex/tests/experimental/kernel_api_overloads/spv_overloads/test_barriers.py
index fe993034f3..f6c93fb692 100644
--- a/numba_dpex/tests/experimental/kernel_api_overloads/spv_overloads/test_barriers.py
+++ b/numba_dpex/tests/experimental/kernel_api_overloads/spv_overloads/test_barriers.py
@@ -29,3 +29,29 @@ def _kernel(nd_item: NdItem, a):
     dpex_exp.call_kernel(_kernel, dpex.NdRange((N,), (N,)), a)
 
     assert a[0] == N * 2
+
+
+def test_group_barrier_device_func():
+    """A test for group_barrier function."""
+
+    @dpex_exp.device_func
+    def _increment_value(nd_item: NdItem, a):
+        i = nd_item.get_global_id(0)
+
+        a[i] += 1
+        group_barrier(nd_item.get_group(), MemoryScope.DEVICE)
+
+        if i == 0:
+            for idx in range(1, a.size):
+                a[0] += a[idx]
+
+    @dpex_exp.kernel
+    def _kernel(nd_item: NdItem, a):
+        _increment_value(nd_item, a)
+
+    N = 16
+    a = dpnp.ones(N, dtype=dpnp.int32)
+
+    dpex_exp.call_kernel(_kernel, dpex.NdRange((N,), (N,)), a)
+
+    assert a[0] == N * 2
diff --git a/numba_dpex/tests/experimental/test_private_array.py b/numba_dpex/tests/experimental/test_private_array.py
index fa6af6f58b..44370f30da 100644
--- a/numba_dpex/tests/experimental/test_private_array.py
+++ b/numba_dpex/tests/experimental/test_private_array.py
@@ -82,3 +82,29 @@ def test_private_array(call_kernel, decorator, kernel):
     want = np.full(a.size, (9) * (9 + 1) * (2 * 9 + 1) / 6, dtype=np.float32)
 
     assert np.array_equal(want, a.asnumpy())
+
+
+@pytest.mark.parametrize(
+    "func",
+    [
+        private_array_kernel,
+        private_array_kernel_fill_true,
+        private_array_kernel_fill_false,
+        private_2d_array_kernel,
+    ],
+)
+def test_private_array_in_device_func(func):
+
+    _df = dpex_exp.device_func(func)
+
+    @dpex_exp.kernel
+    def _kernel(item: Item, a):
+        _df(item, a)
+
+    a = dpnp.empty(10, dtype=dpnp.float32)
+    dpex_exp.call_kernel(_kernel, Range(a.size), a)
+
+    # sum of squares from 1 to n: n*(n+1)*(2*n+1)/6
+    want = np.full(a.size, (9) * (9 + 1) * (2 * 9 + 1) / 6, dtype=np.float32)
+
+    assert np.array_equal(want, a.asnumpy())