diff --git a/src/pydase/data_service/data_service.py b/src/pydase/data_service/data_service.py
index 14097a3..941b12d 100644
--- a/src/pydase/data_service/data_service.py
+++ b/src/pydase/data_service/data_service.py
@@ -12,7 +12,6 @@ from pydase.data_service.callback_manager import CallbackManager
 from pydase.data_service.task_manager import TaskManager
 from pydase.utils.helpers import (
     convert_arguments_to_hinted_types,
-    generate_paths_from_DataService_dict,
     get_class_and_instance_attributes,
     get_nested_value_from_DataService_by_path_and_key,
     get_object_attr_from_path,
@@ -20,7 +19,7 @@ from pydase.utils.helpers import (
     parse_list_attr_and_index,
     update_value_if_changed,
 )
-from pydase.utils.serializer import Serializer
+from pydase.utils.serializer import Serializer, generate_paths_from_DataService_dict
 from pydase.utils.warnings import (
     warn_if_instance_class_does_not_inherit_from_DataService,
 )
diff --git a/src/pydase/data_service/state_manager.py b/src/pydase/data_service/state_manager.py
index 8b6df90..5da5f55 100644
--- a/src/pydase/data_service/state_manager.py
+++ b/src/pydase/data_service/state_manager.py
@@ -6,10 +6,8 @@ from typing import TYPE_CHECKING, Any, Optional, cast
 
 import pydase.units as u
 from pydase.data_service.data_service_cache import DataServiceCache
-from pydase.utils.helpers import (
-    generate_paths_from_DataService_dict,
-    get_nested_value_from_DataService_by_path_and_key,
-)
+from pydase.utils.helpers import get_nested_value_from_DataService_by_path_and_key
+from pydase.utils.serializer import generate_paths_from_DataService_dict
 
 if TYPE_CHECKING:
     from pydase import DataService
diff --git a/src/pydase/utils/helpers.py b/src/pydase/utils/helpers.py
index 3b35942..fe49296 100644
--- a/src/pydase/utils/helpers.py
+++ b/src/pydase/utils/helpers.py
@@ -11,6 +11,7 @@ STANDARD_TYPES = (
     "float",
     "bool",
     "str",
+    "method",
     "Enum",
     "NoneType",
     "Quantity",
@@ -76,77 +77,6 @@ def get_object_attr_from_path(target_obj: Any, path: list[str]) -> Any:
     return target_obj
 
 
-def generate_paths_from_DataService_dict(
-    data: dict, parent_path: str = ""
-) -> list[str]:
-    """
-    Recursively generate paths from a dictionary representing a DataService object.
-
-    This function traverses through a nested dictionary, which is typically obtained
-    from serializing a DataService object. The function generates a list where each
-    element is a string representing the path to each terminal value in the original
-    dictionary.
-
-    The paths are represented as strings, with dots ('.') denoting nesting levels and
-    square brackets ('[]') denoting list indices.
-
-    Args:
-        data (dict): The input dictionary to generate paths from. This is typically
-        obtained from serializing a DataService object.
-        parent_path (str, optional): The current path up to the current level of
-        recursion. Defaults to ''.
-
-    Returns:
-        list[str]: A list with paths as elements.
-
-    Note:
-        The function ignores keys whose "type" is "method", as these represent methods
-        of the DataService object and not its state.
-
-    Example:
-    -------
-
-    >>> {
-    ...     "attr1": {"type": "int", "value": 10},
-    ...     "attr2": {
-    ...         "type": "list",
-    ...         "value": [{"type": "int", "value": 1}, {"type": "int", "value": 2}],
-    ...     },
-    ...     "add": {
-    ...         "type": "method",
-    ...         "async": False,
-    ...         "parameters": {"a": "float", "b": "int"},
-    ...         "doc": "Returns the sum of the numbers a and b.",
-    ...     },
-    ... }
-    >>> print(generate_paths_from_DataService_dict(nested_dict))
-    [attr1, attr2[0], attr2[1]]
-    """
-
-    paths = []
-    for key, value in data.items():
-        if value["type"] == "method":
-            # ignoring methods
-            continue
-        new_path = f"{parent_path}.{key}" if parent_path else key
-        if isinstance(value["value"], dict) and value["type"] != "Quantity":
-            paths.extend(generate_paths_from_DataService_dict(value["value"], new_path))  # type: ignore
-        elif isinstance(value["value"], list):
-            for index, item in enumerate(value["value"]):
-                indexed_key_path = f"{new_path}[{index}]"
-                if isinstance(item["value"], dict):
-                    paths.extend(  # type: ignore
-                        generate_paths_from_DataService_dict(
-                            item["value"], indexed_key_path
-                        )
-                    )
-                else:
-                    paths.append(indexed_key_path)  # type: ignore
-        else:
-            paths.append(new_path)  # type: ignore
-    return paths
-
-
 def extract_dict_or_list_entry(data: dict[str, Any], key: str) -> dict[str, Any] | None:
     """
     Extract a nested dictionary or list entry based on the provided key.
diff --git a/src/pydase/utils/serializer.py b/src/pydase/utils/serializer.py
index e20a1ee..ca28738 100644
--- a/src/pydase/utils/serializer.py
+++ b/src/pydase/utils/serializer.py
@@ -331,3 +331,72 @@ def get_nested_dict_by_attr_and_index(
     return serialization_dict
 
 
+def generate_paths_from_DataService_dict(
+    data: dict, parent_path: str = ""
+) -> list[str]:
+    """
+    Recursively generate paths from a dictionary representing a DataService object.
+
+    This function traverses through a nested dictionary, which is typically obtained
+    from serializing a DataService object. The function generates a list where each
+    element is a string representing the path to each terminal value in the original
+    dictionary.
+
+    The paths are represented as strings, with dots ('.') denoting nesting levels and
+    square brackets ('[]') denoting list indices.
+
+    Args:
+        data (dict): The input dictionary to generate paths from. This is typically
+        obtained from serializing a DataService object.
+        parent_path (str, optional): The current path up to the current level of
+        recursion. Defaults to ''.
+
+    Returns:
+        list[str]: A list with paths as elements.
+
+    Note:
+        The function ignores keys whose "type" is "method", as these represent methods
+        of the DataService object and not its state.
+
+    Example:
+    -------
+
+    >>> {
+    ...     "attr1": {"type": "int", "value": 10},
+    ...     "attr2": {
+    ...         "type": "list",
+    ...         "value": [{"type": "int", "value": 1}, {"type": "int", "value": 2}],
+    ...     },
+    ...     "add": {
+    ...         "type": "method",
+    ...         "async": False,
+    ...         "parameters": {"a": "float", "b": "int"},
+    ...         "doc": "Returns the sum of the numbers a and b.",
+    ...     },
+    ... }
+    >>> print(generate_paths_from_DataService_dict(nested_dict))
+    [attr1, attr2[0], attr2[1]]
+    """
+
+    paths = []
+    for key, value in data.items():
+        if value["type"] == "method":
+            # ignoring methods
+            continue
+        new_path = f"{parent_path}.{key}" if parent_path else key
+        if isinstance(value["value"], dict) and value["type"] != "Quantity":
+            paths.extend(generate_paths_from_DataService_dict(value["value"], new_path))  # type: ignore
+        elif isinstance(value["value"], list):
+            for index, item in enumerate(value["value"]):
+                indexed_key_path = f"{new_path}[{index}]"
+                if isinstance(item["value"], dict):
+                    paths.extend(  # type: ignore
+                        generate_paths_from_DataService_dict(
+                            item["value"], indexed_key_path
+                        )
+                    )
+                else:
+                    paths.append(indexed_key_path)  # type: ignore
+        else:
+            paths.append(new_path)  # type: ignore
+    return paths