Updated README and report

Author: nithikeshreddy

courseProjectDocs/integration-testing/README.md

@@ -28,4 +28,7 @@ collected 6 items
 
 pandas/tests/util/test_integration.py::TestSandeepIntegration::test_series_to_dataframe_dtype_preservation PASSED
 pandas/tests/util/test_integration.py::TestSandeepIntegration::test_dataframe_from_dict_mixed_series_dtypes PASSED
+pandas/tests/util/test_integration.
+py::TestNithikeshIntegration::test_validate_fillna_with_clean_method PASSED
+pandas/tests/util/test_integration.py::TestNithikeshIntegration::test_series_fillna_integration PASSED
 pandas/tests/util/test_integration.

courseProjectDocs/integration-testing/report.md

@@ -14,3 +14,16 @@ This integration testing effort focuses on verifying interactions between multip
 **Interactions Tested:**
 1. **Series.to_frame()**: Tests dtype preservation when converting Series to DataFrame through internal manager conversion
 2. **DataFrame construction from dict**: Tests how DataFrame handles multiple Series with different dtypes (int64, float32, object) during construction
+
+
+### Test 2: Validation-Missing Data Integration (Nithikesh Bobbili)
+**Modules Integrated:**
+- `pandas.util._validators` (validation utilities)
+- `pandas.core.missing` (missing data handling)
+- `pandas.core.series` (Series operations)
+- `pandas.core.internals` (internal data modification)
+
+**Interactions Tested:**
+1. **validate_fillna_kwargs with clean_fill_method**: Tests delegation from validator to missing data module for method normalization
+2. **Series.fillna/ffill operations**: Tests complete pipeline from user API through validation to missing data handling
+