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--- tutorial:comb_data_modeling [2020/06/12 02:00]
admin [Generate Test Cases]
+++ tutorial:comb_data_modeling [2021/01/05 03:00] (current)
@@ Line 1: / Line 1: @@
 ====== Tutorial: Combinatorial Modeling and Test Generation ======
-Learning Objectives:
+====Learning Objectives ====
   * [[#What is Combinatorial Model?]]
   * [[#Create Model]]
@@ Line 78: / Line 78: @@
 {{wiki:overview:tut_comb_new_model_pairwise_gen.png?600}}
+You may remove or add additional rows to the //DataTable// as you see fit, even to update values for any rows. However this must be done with caution as any changes to //DataTable// will be lost on next time //DataTable// is re-generated.
+Feel free to experiment with different generation algorithms.  You must save the changes before you run another generation.
+When selecting //Mixed// algorithm, you will see an additional section displayed below the header (variable names):
+{{wiki:overview:tut_comb_new_model_gen_mixed.png?600}}
+//Mixed// algorithm allows you to selectively apply different interaction strength (pairwise vs three-wise, etc.) for specific subset of variables.
+We will not cover //Mixed// algorithm here, but you can find more details about //Mixed// algorithm in [[../data_design_ide#generate | Data Design IDE / GENERATE]].
@@ Line 83: / Line 95: @@
 ===== Make Changes =====
+As you must have figured out that you can easily add additional variables and remove any variables from the model.
+Other changes are adding, removing and changing the domain values of each variable.
+Upon any changes to the model, you should always re-generate //DataTable//.
-===== =====