diff --git a/execution/README.md b/execution/README.md
index 7db6164ece2927168ce55b81eadd842434b786df..e2d9cdc84b9193df804c36ae543eafac906c2df5 100644
--- a/execution/README.md
+++ b/execution/README.md
@@ -158,9 +158,9 @@ The `./theodolite.sh` is the entrypoint for all benchmark executions. Is has to
 * `<duration>`: Duration in minutes subexperiments should be executed for. Optional. Default `5`.
 * `<strategy>`: The benchmarking strategy. Can be set to `default` or `step`. For more details see Section _Benchmarking Strategies_. Default `default`.
 
-### <a name="benchmarking-strategies"></a>Benchmarking Strategies
+### Benchmarking Strategies
 There are the following benchmarking strategies:
 
-* `default`: Execute a subexperiment for each combination of the number of replicas (N), and the number of workload intensities (M). The amount of executed subexperiments is N*M.
-* `step`: After each subexperiment, it is checked, whether the application could handle the workload. If the workload could be handled, the workload intensity is increased in the next subexperiment. Otherwise, the workload intensity is kept the same and the number of instances is increased. The amount of executed subexperiments is at most N+M-1.
+* `default`: Execute a subexperiment for each combination of the number of replicas (N), and the number of workload intensities (M). The amount of executed subexperiments is always N*M.
+* `step`: A heuristic which works as follows: After each subexperiment, it is checked, whether the application could handle the workload. If the workload could be handled, the workload intensity is increased in the next subexperiment. Otherwise, the workload intensity is kept the same and the number of instances is increased. The amount of executed subexperiments is at most N+M-1.
 
diff --git a/execution/strategies/tests/test_step_strategy.py b/execution/strategies/tests/test_step_strategy.py
index afc7071ac366dcb2444b05cb9400f6630859f12d..bd7a3caef77d671735c74cecd3d2b7c2be056d2b 100644
--- a/execution/strategies/tests/test_step_strategy.py
+++ b/execution/strategies/tests/test_step_strategy.py
@@ -68,7 +68,7 @@ def subexperiment_evaluator_execute():
     pp.pprint(expected_order[experiment_counter])
     assert expected_order[experiment_counter] == last_experiment
     print("Index was as expected. Evaluation finished.")
-    return successful[last_experiment[0]][last_experiment[1]]
+    return 1 if successful[last_experiment[0]][last_experiment[1]] else 0
 
 subexperiment_evaluator.execute = subexperiment_evaluator_execute