diff --git a/tests/config/test_resolvers.py b/tests/config/test_resolvers.py
new file mode 100644
index 00000000..9b6df074
--- /dev/null
+++ b/tests/config/test_resolvers.py
@@ -0,0 +1,88 @@
+import re
+
+import pytest
+import yaml
+from kedro.framework.session import KedroSession
+from kedro.framework.startup import bootstrap_project
+from mlflow.utils.name_utils import (
+    _GENERATOR_NOUNS,
+    _GENERATOR_PREDICATES,
+)
+from omegaconf import OmegaConf
+
+from kedro_mlflow.config.resolvers import resolve_random_name
+
+
+def _write_yaml(filepath, config):
+    yaml_str = yaml.dump(config)
+    filepath.write_text(yaml_str)
+
+
+def _is_mlflow_name(name: str) -> bool:
+    splitted_name = name.split("-")
+    flag1 = len(splitted_name) == 3  # noqa: PLR2004
+    flag2 = splitted_name[0] in _GENERATOR_PREDICATES
+    flag3 = splitted_name[1] in _GENERATOR_NOUNS
+    flag4 = re.search(pattern=r"^\d+$", string=splitted_name[2])
+    return all({flag1, flag2, flag3, flag4})
+
+
+@pytest.fixture
+def kedro_project_with_random_name(kedro_project):
+    # kedro_project is a pytest.fixture in conftest
+    dict_config = dict(
+        server=dict(
+            mlflow_tracking_uri="mlruns",
+            mlflow_registry_uri=None,
+            credentials=None,
+            request_header_provider=dict(type=None, pass_context=False, init_kwargs={}),
+        ),
+        tracking=dict(
+            disable_tracking=dict(pipelines=["my_disabled_pipeline"]),
+            experiment=dict(name="fake_package", restore_if_deleted=True),
+            run=dict(id="123456789", name="${km.random_name:null}", nested=True),
+            params=dict(
+                dict_params=dict(
+                    flatten=True,
+                    recursive=False,
+                    sep="-",
+                ),
+                long_params_strategy="truncate",
+            ),
+        ),
+        ui=dict(port="5151", host="localhost"),
+    )
+
+    _write_yaml(kedro_project / "conf" / "local" / "mlflow.yml", dict_config)
+    expected = dict_config.copy()
+    expected["server"]["mlflow_tracking_uri"] = (kedro_project / "mlruns").as_uri()
+    return kedro_project
+
+
+def test_resolve_random_name_is_valid_mlflow_name():
+    random_name = resolve_random_name()
+    assert _is_mlflow_name(random_name)
+
+
+def test_resolve_random_name_is_registered(kedro_project_with_random_name):
+    bootstrap_project(kedro_project_with_random_name)
+    with KedroSession.create(project_path=kedro_project_with_random_name) as session:
+        session.load_context()
+        assert OmegaConf.has_resolver("km.random_name")
+
+
+def test_resolve_random_name_is_called_in_project(kedro_project_with_random_name):
+    bootstrap_project(kedro_project_with_random_name)
+    with KedroSession.create(project_path=kedro_project_with_random_name) as session:
+        context = session.load_context()
+        assert _is_mlflow_name(context.mlflow.tracking.run.name)
+
+
+def test_resolve_random_name_is_idempotent(kedro_project_with_random_name):
+    bootstrap_project(kedro_project_with_random_name)
+    with KedroSession.create(project_path=kedro_project_with_random_name) as session:
+        context = session.load_context()
+        assert (
+            context.config_loader["mlflow"]["tracking"]["run"]["name"]
+            == context.config_loader["mlflow"]["tracking"]["run"]["name"]
+        )  # when called twice, should be different is no use_cache because the resolver is random