diff --git a/.github/workflows/job_onnx_models_tests.yml b/.github/workflows/job_onnx_models_tests.yml
index 19bf3b23482b89..5cf311d52e193b 100644
--- a/.github/workflows/job_onnx_models_tests.yml
+++ b/.github/workflows/job_onnx_models_tests.yml
@@ -95,7 +95,7 @@ jobs:
       - name: Install Python tests dependencies
         run: |
           # To enable pytest parallel features
-          python3 -m pip install pytest-xdist[psutil] pytest-forked
+          python3 -m pip install pytest-xdist[psutil] pytest-forked pytest-randomly
 
       - name: ONNX Models Tests
         run: python3 -m pytest --backend="CPU" --model_zoo_dir="${MODELS_SHARE_PATH}" ${INSTALL_TEST_DIR}/onnx/tests/tests_python/test_zoo_models.py -v -n auto --forked -k 'not _cuda' --model_zoo_xfail
diff --git a/src/plugins/auto/src/compiled_model.cpp b/src/plugins/auto/src/compiled_model.cpp
index d4d781e635a9a3..d0e4a47bb8f273 100644
--- a/src/plugins/auto/src/compiled_model.cpp
+++ b/src/plugins/auto/src/compiled_model.cpp
@@ -63,7 +63,7 @@ ov::AnyMap ov::auto_plugin::CompiledModel::get_device_supported_properties(AutoC
     OPENVINO_ASSERT(context.m_compiled_model);
     auto device_supported_properties = context.m_compiled_model->get_property(ov::supported_properties.name());
     for (auto&& property_name : device_supported_properties.as<std::vector<ov::PropertyName>>()) {
-        // for lto issue, explictly do the conversion here
+        // For LTO issue, explicitly do the conversion here
         std::string query_name = property_name;
         device_properties[property_name] = context.m_compiled_model->get_property(query_name);
     }
diff --git a/src/plugins/auto_batch/tests/unit/plugin_compile_model_test.cpp b/src/plugins/auto_batch/tests/unit/plugin_compile_model_test.cpp
index 9569a9adb19f48..639da2fddde048 100644
--- a/src/plugins/auto_batch/tests/unit/plugin_compile_model_test.cpp
+++ b/src/plugins/auto_batch/tests/unit/plugin_compile_model_test.cpp
@@ -130,7 +130,7 @@ TEST_P(PluginCompileModelTest, PluginCompileModelBatchedModelWithRemoteContextTe
 }
 
 const std::vector<plugin_compile_model_param> plugin_compile_model_param_test = {
-    // Case 1: explict apply batch size by config of AUTO_BATCH_DEVICE_CONFIG
+    // Case 1: explicitly apply batch size by config of AUTO_BATCH_DEVICE_CONFIG
     plugin_compile_model_param{{{ov::hint::performance_mode.name(), ov::hint::PerformanceMode::THROUGHPUT},
                                 {ov::optimal_batch_size.name(), static_cast<unsigned int>(16)},
                                 {ov::hint::num_requests(12)},
diff --git a/src/plugins/intel_gpu/tests/unit/test_cases/concatenation_gpu_test.cpp b/src/plugins/intel_gpu/tests/unit/test_cases/concatenation_gpu_test.cpp
index 6f2ec418adac7f..6fc3b6287f918e 100644
--- a/src/plugins/intel_gpu/tests/unit/test_cases/concatenation_gpu_test.cpp
+++ b/src/plugins/intel_gpu/tests/unit/test_cases/concatenation_gpu_test.cpp
@@ -1620,7 +1620,7 @@ INSTANTIATE_TEST_SUITE_P(smoke,
                         concat_gpu::PrintToStringParamName);
 
 template <typename Type>
-struct concat_gpu_4d_explict : public concat_gpu {
+struct concat_gpu_4d_explicit : public concat_gpu {
 public:
     cldnn::memory::ptr run_concat_network(std::vector<std::vector<std::vector<std::vector<std::vector<Type>>>>> input, format::type fmt, ExecutionConfig config) {
         auto data_type = ov::element::from<Type>();
@@ -1757,7 +1757,7 @@ struct concat_gpu_4d_explict : public concat_gpu {
 };
 
 
-using concat_no_implicit_gpu_onednn_4d_f16 = concat_gpu_4d_explict<ov::float16>;
+using concat_no_implicit_gpu_onednn_4d_f16 = concat_gpu_4d_explicit<ov::float16>;
 
 TEST_P(concat_no_implicit_gpu_onednn_4d_f16, input_order_opt_b_fs_yx_fsv16) {
     ASSERT_NO_FATAL_FAILURE(test(format::b_fs_yx_fsv16));