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tutorial:comb_data_modeling [2020/06/12 01:59]
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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   * click on ▶ next to the algorithm dropdown   * click on ▶ next to the algorithm dropdown
  
-Generated test cases are listed in //DataTable//:+Generated test cases are listed in //DataTable// as below for //pairwise//:
  
-{{wiki:overview:tut_comb_new_model_gen_pairwise.png?600}}+{{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]].
 + 
  
  
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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//.
  
  
  
-===== =====