diff --git a/Codes and Data Analysis Report/3_test_refactored_code.py b/Codes and Data Analysis Report/3_test_refactored_code.py
new file mode 100644
index 0000000..40d52e8
--- /dev/null
+++ b/Codes and Data Analysis Report/3_test_refactored_code.py	
@@ -0,0 +1,43 @@
+import unittest
+import pandas as pd
+import os
+from refactored_code import classify_theses, process_file, process_files, save_classified_theses_to_excel
+
+class TestRefactoredCode(unittest.TestCase):
+
+    def setUp(self):
+        self.ods = {
+            'ODS1': pd.DataFrame({'ODS1': ['palavra1', 'palavra2']}),
+            'ODS2': pd.DataFrame({'ODS2': ['palavra3', 'palavra4']})
+        }
+        self.teses = pd.DataFrame({'palavras_chave': ['palavra1 palavra2', 'palavra3 palavra4', 'palavra5 palavra6']})
+        self.file_paths = {
+            'file1': 'path/to/file1',
+            'file2': 'path/to/file2'
+        }
+        self.new_folder = 'path/to/new/folder'
+
+    def test_classify_theses(self):
+        result = classify_theses(self.ods, self.teses)
+        expected = {'ODS1': [0], 'ODS2': [1]}
+        self.assertEqual(result, expected)
+
+    def test_process_file(self):
+        # Use a real file path for testing
+        df = process_file('file1', 'path/to/file1', self.new_folder)
+        self.assertIsInstance(df, pd.DataFrame)
+
+    def test_process_files(self):
+        # Use real file paths for testing
+        dfs = process_files(self.file_paths, self.new_folder)
+        self.assertIsInstance(dfs, dict)
+        for df in dfs.values():
+            self.assertIsInstance(df, pd.DataFrame)
+
+    def test_save_classified_theses_to_excel(self):
+        classified_theses = classify_theses(self.ods, self.teses)
+        save_classified_theses_to_excel(classified_theses, 'classified_theses.xlsx', self.teses)
+        self.assertTrue(os.path.exists('classified_theses.xlsx'))
+
+if __name__ == '__main__':
+    unittest.main()
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