diff --git a/execution/run_uc.py b/execution/run_uc.py
index 56d6d0fcf4f2f6edd49c6692e6e9de0bbbfefb47..a0fcdbb6d57e5dc67d18e69b7d07fcdbfa809307 100644
--- a/execution/run_uc.py
+++ b/execution/run_uc.py
@@ -282,8 +282,16 @@ def run_evaluation(exp_id, uc_id, dim_value, instances, execution_minutes, prome
     :param int execution_minutes: How long the use case where executed.
     """
     print('Run evaluation function')
-    lag_analysis.main(exp_id, f'uc{uc_id}', dim_value, instances,
-                      execution_minutes, prometheus_base_url, result_path)
+    try:
+        lag_analysis.main(exp_id, f'uc{uc_id}', dim_value, instances,
+                          execution_minutes, prometheus_base_url,
+                          result_path)
+    except Exception as e:
+        err_msg = 'Evaluation function failed'
+        print(err_msg)
+        logging.exception(err_msg)
+        print('Benchmark execution continues')
+
     return
 
 
diff --git a/execution/strategies/subexperiment_evaluation/subexperiment_evaluator.py b/execution/strategies/subexperiment_evaluation/subexperiment_evaluator.py
index 4e46d2d6ccabb601d9df373a540d23e73d60be28..442a7999cc0c50257f27271e3c41e6c85c0cecee 100644
--- a/execution/strategies/subexperiment_evaluation/subexperiment_evaluator.py
+++ b/execution/strategies/subexperiment_evaluation/subexperiment_evaluator.py
@@ -1,7 +1,7 @@
+import lib.trend_slope_computer as trend_slope_computer
+import logging
 import os
 import sys
-import os
-import lib.trend_slope_computer as trend_slope_computer
 
 THRESHOLD = 2000
 WARMUP_SEC = 60
@@ -10,7 +10,15 @@ def execute(config):
     cwd = f'{os.getcwd()}/{config.result_path}'
     file = f"exp{config.exp_id}_uc{config.use_case}_{config.dim_value}_{config.replicas}_totallag.csv"
 
-    trend_slope = trend_slope_computer.compute(cwd, file, WARMUP_SEC, THRESHOLD)
+    try:
+        trend_slope = trend_slope_computer.compute(cwd, file, WARMUP_SEC, THRESHOLD)
+    except Exception as e:
+        err_msg = 'Computing trend slope failed'
+        print(err_msg)
+        logging.exception(err_msg)
+        print('Mark this subexperiment as not successful and continue benchmark')
+        return 0
+
 
     print(f"Trend Slope: {trend_slope}")
     success = 0 if trend_slope > THRESHOLD else 1