diff --git a/scripts/basop_check_for_changes_in_testcases.py b/scripts/basop_check_for_changes_in_testcases.py
index 2b38e8a0d559e3b54161708d0c5becc41ea03a0f..3a61c76bb459f986c1c4e39066b53c4d73860e28 100644
--- a/scripts/basop_check_for_changes_in_testcases.py
+++ b/scripts/basop_check_for_changes_in_testcases.py
@@ -42,7 +42,7 @@ import xml.etree.ElementTree as ET
 # set positive threshold for "lower is better" metrics, negative for "higher is better"
 COLS_2_THRESHOLDS = {
     "MLD": float(os.environ.get("CI_REGRESSION_THRESH_MLD", 0.1)),
-    "MAXIMUM ABS DIFF": float(os.environ.get("CI_REGRESSION_THRESH_MAX_ABS_DIFF", 5)),
+    "MAX_ABS_DIFF": float(os.environ.get("CI_REGRESSION_THRESH_MAX_ABS_DIFF", 5)),
     "MIN_SSNR": float(os.environ.get("CI_REGRESSION_THRESH_SSNR", -1)),
     "MIN_ODG": float(os.environ.get("CI_REGRESSION_THRESH_ODG", -0.05)),
 }
@@ -62,8 +62,8 @@ PATTERNS = [PATTERN_ENC, PATTERN_DEC, PATTERN_EID, PATTERN_NETSIM]
 
 def main(args):
     xml_report = args.xml_report
-    df_curr = pd.read_csv(args.csv_current, sep=";")
-    df_prev = pd.read_csv(args.csv_previous, sep=";")
+    df_curr = pd.read_csv(args.csv_current)
+    df_prev = pd.read_csv(args.csv_previous)
     df_merged = pd.merge(df_curr, df_prev, on="testcase", suffixes=["-curr", "-prev"])
 
     # remove leading path from testcase names for better readability
@@ -76,8 +76,8 @@ def main(args):
     regressions_found = False
 
     # check for newly introduced crashes
-    col_curr = "Result-curr"
-    col_prev = "Result-prev"
+    col_curr = "result-curr"
+    col_prev = "result-prev"
     mask_crash_introduced = (df_merged[col_curr] == "ERROR") & (
         df_merged[col_prev] != "ERROR"
     )