diff --git a/tests/constants_test.py b/tests/constants_test.py
index 8ace5dbfa..3fc1c2d35 100644
--- a/tests/constants_test.py
+++ b/tests/constants_test.py
@@ -73,34 +73,34 @@
 # Note: defined here rather than inside each match arm to avoid SonarCloud flagging the
 # nearly-identical blocks as duplicated code (the 3% duplication threshold).
 SPOT_0_EXPECTED_RESULT_FILES = [
-    ("tissue_qc_segmentation_map_image.tiff", 1645652, 10),
-    ("tissue_qc_geojson_polygons.json", 101150, 10),
-    ("tissue_segmentation_geojson_polygons.json", 327625, 10),
-    ("readout_generation_slide_readouts.csv", 303585, 10),
-    ("readout_generation_cell_readouts.csv", 1660865, 10),
-    ("cell_classification_geojson_polygons.json", 6117357, 10),
-    ("tissue_segmentation_segmentation_map_image.tiff", 2858496, 10),
-    ("tissue_segmentation_csv_class_information.csv", 452, 10),
     ("tissue_qc_csv_class_information.csv", 285, 10),
+    ("tissue_qc_geojson_polygons.json", 101150, 10),
     ("tissue_qc_parquet_polygons.parquet", 39435, 10),
+    ("tissue_qc_segmentation_map_image.tiff", 1645652, 10),
+    ("tissue_segmentation_csv_class_information.csv", 452, 10),
+    ("tissue_segmentation_geojson_polygons.json", 327625, 10),
     ("tissue_segmentation_parquet_polygons.parquet", 117509, 10),
+    ("tissue_segmentation_segmentation_map_image.tiff", 2858496, 10),
+    ("cell_classification_geojson_polygons.json", 6117357, 10),
     ("cell_classification_parquet_polygons.parquet", 1985592, 10),
+    ("readout_generation_cell_readouts.csv", 1660865, 10),
+    ("readout_generation_slide_readouts.csv", 303585, 10),
 ]
 SPOT_0_EXPECTED_CELLS_CLASSIFIED = (39798, 10)
 
 SPOT_1_EXPECTED_RESULT_FILES = [
-    ("tissue_qc_segmentation_map_image.tiff", 1288632, 10),
-    ("tissue_qc_geojson_polygons.json", 75281, 10),
-    ("tissue_segmentation_geojson_polygons.json", 152301, 10),
-    ("readout_generation_slide_readouts.csv", 299361, 10),
-    ("readout_generation_cell_readouts.csv", 464838, 10),
-    ("cell_classification_geojson_polygons.json", 1726813, 10),
-    ("tissue_segmentation_segmentation_map_image.tiff", 1783376, 10),
-    ("tissue_segmentation_csv_class_information.csv", 446, 10),
     ("tissue_qc_csv_class_information.csv", 290, 10),
+    ("tissue_qc_geojson_polygons.json", 75281, 10),
     ("tissue_qc_parquet_polygons.parquet", 29087, 10),
+    ("tissue_qc_segmentation_map_image.tiff", 1288632, 10),
+    ("tissue_segmentation_csv_class_information.csv", 446, 10),
+    ("tissue_segmentation_geojson_polygons.json", 152301, 10),
     ("tissue_segmentation_parquet_polygons.parquet", 56563, 10),
+    ("tissue_segmentation_segmentation_map_image.tiff", 1783376, 10),
+    ("cell_classification_geojson_polygons.json", 1726813, 10),
     ("cell_classification_parquet_polygons.parquet", 562536, 10),
+    ("readout_generation_cell_readouts.csv", 464838, 10),
+    ("readout_generation_slide_readouts.csv", 299361, 10),
 ]
 
 match os.getenv("AIGNOSTICS_PLATFORM_ENVIRONMENT", "production"):
@@ -124,7 +124,7 @@
         TEST_APPLICATION_VERSION = "1.0.0"
 
         HETA_APPLICATION_ID = "he-tme"
-        HETA_APPLICATION_VERSION = "1.2.0"
+        HETA_APPLICATION_VERSION = "1.3.0-rc.1"
         TEST_APPLICATION_VERSION_USE_LATEST_FALLBACK_SKIP = True
 
         PIPELINE_GPU_TYPE = "L4"