diff --git a/model-optimizer/mo/utils/versions_checker.py b/model-optimizer/mo/utils/versions_checker.py
index c2dacbb675001c..5b8317f866f9cb 100644
--- a/model-optimizer/mo/utils/versions_checker.py
+++ b/model-optimizer/mo/utils/versions_checker.py
@@ -187,17 +187,16 @@ def version_check(name, installed_v, required_v, sign, not_satisfied_v, exit_cod
     return exit_code
 
 
-def get_environment_variables():
+def get_environment_setup():
     """
+    Get environment setup such as python version
     Checks if installed modules versions satisfy required versions in requirements file
     :return: a dictionary of environment variables
     """
     env_params = dict()
-    exec("import sys")
     python_version = "{}.{}.{}".format(sys.version_info.major,
                                        sys.version_info.minor,
                                        sys.version_info.micro)
-    exec("del sys")
     env_params['python_version'] = python_version
     return env_params
 
@@ -217,6 +216,8 @@ def check_requirements(framework=None):
     if framework is None:
         framework_suffix = ""
     elif framework == "tf":
+        # TODO: requirements file must be determined based on input model (TF1 or TF2)
+        #  and not by installed TensorFlow version
         try:
             exec("import tensorflow")
             tf_version = sys.modules["tensorflow"].__version__
@@ -233,7 +234,7 @@ def check_requirements(framework=None):
 
     file_name = "requirements{}.txt".format(framework_suffix)
     requirements_file = os.path.realpath(os.path.join(os.path.dirname(__file__), os.pardir, os.pardir, file_name))
-    env_params = get_environment_variables()
+    env_params = get_environment_setup()
     requirements_list = get_module_version_list_from_file(requirements_file, env_params)
     not_satisfied_versions = []
     exit_code = 0