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sequencers [2020/12/10 17:45]
admin [Sequencer - Priority Path] 		sequencers [2021/02/17 18:03]
admin [Types of Sequencers]
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 ====== Model Sequencers ====== ====== Model Sequencers ======
  
-//Model Sequencer// is algorithm-based the test sequence (test cases) generation from the model. +//Model Sequencer// is algorithm-based test case (test sequence) generation from the model. 
  
-The test sequence (test case) generation is referred to as //Generate// action.+The test case generation is referred to as //Generate// action.
  
 The generated test cases can be automated to drive Application Under Test (AUT) through //Groovy-based Scripting// and [[Plugins]].  This step is referred to as //Execute// model action. The generated test cases can be automated to drive Application Under Test (AUT) through //Groovy-based Scripting// and [[Plugins]].  This step is referred to as //Execute// model action.
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 For //Combinatorial Data// models, //Model Sequencer// generates the permutations for the variable value (domain) sets to achieve the specific combination coverage. For //Combinatorial Data// models, //Model Sequencer// generates the permutations for the variable value (domain) sets to achieve the specific combination coverage.
 +
 +Constraints (rules) can be added to //Combinatorial Data// models to remove unwanted combinations.
  
  
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   * TraversedTransCost: integer, default 500   * TraversedTransCost: integer, default 500
   * scale: float >= 0.1, default 1.0 = neutral, < 1.0 for less sensitive (less penalty on choosing lower weight transitions), > 1.0 for more sensitive   * scale: float >= 0.1, default 1.0 = neutral, < 1.0 for less sensitive (less penalty on choosing lower weight transitions), > 1.0 for more sensitive
 +
 +You may also set above parameters in config.properties for all models:
 +    Sequencer.TraversedTransCost=integer
 +    Sequencer.scale=float