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tutorial:comb_data_modeling [2020/06/12 02:04]
admin [Generate Test Cases]
tutorial:comb_data_modeling [2021/01/05 03:00] (current)
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 ====== Tutorial: Combinatorial Modeling and Test Generation ====== ====== Tutorial: Combinatorial Modeling and Test Generation ======
  
-Learning Objectives:+====Learning Objectives ====
   * [[#What is Combinatorial Model?]]   * [[#What is Combinatorial Model?]]
   * [[#Create Model]]   * [[#Create Model]]
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 Feel free to experiment with different generation algorithms.  You must save the changes before you run another generation. 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]].
 + 
  
  
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 ===== Make Changes ===== ===== 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//.
  
  
  
-===== =====