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tutorial:comb_data_modeling [2020/06/11 03:52]
admin [Tutorial: Combinatorial Modeling and Test Generation] 		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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 {{wiki:overview:tut_comb_new_model_var3.png?500}} {{wiki:overview:tut_comb_new_model_var3.png?500}}
 +
 +You can also add constraints to remove certain permutations that are illegal, invalid or unwanted for any reason.  This is not covered in this tutorial, please refer to the [[../data_design_ide#define | Data Design IDE / DEFINE]] for details.
  
 Save the changes and we are ready to generates the test cases from this model. Save the changes and we are ready to generates the test cases from this model.
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 ===== Generate Test Cases ===== ===== Generate Test Cases =====
 +Test generation from combinatorial model is done in [[../data_design_ide#generate | GENERATE]] tab.  Go ahead and select //GENERATE// tab.
 +
 +{{wiki:overview:tut_comb_new_model_gen.png?600}}
 +
 +To generate the test cases,
 +  * select an algorithm {{wiki:overview:tut_comb_algorithms.png?150}}
 +
 +  * click on ▶ next to the algorithm dropdown
 +
 +Generated test cases are listed in //DataTable// as below for //pairwise//:
 +
 +{{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]].
 + 
 +
 +
  
  
 ===== 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//.
  
  
  
-===== =====