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ide_dataset [2020/05/03 16:17] – [Create DataSet] adminide_dataset [2024/01/02 19:37] (current) – external edit 127.0.0.1
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 ===== IDE DataSet Editor ===== ===== IDE DataSet Editor =====
-//IDE DataSet Editor// allows you to create and edit the //dataset// for a state or transition.  The //dataset// can then be used in //TRIGGER Script// to perform //Data-Driven Testing (DDT)//. +//IDE DataSet Editor// allows you to create and edit the //dataset// for a state or transition.  The //dataset// can then be used in //TRIGGER Script// to perform //Data-Driven Testing (DDT)// and [[Combinatorial Algorithms| Combinatorial Testing]].
  
 It supports combinatorial test generation algorithms including //Pairwise// algorithm. For more advanced data generation. It supports combinatorial test generation algorithms including //Pairwise// algorithm. For more advanced data generation.
  
-{{ wiki:idescreen:ide_dataset.png }}+{{wiki:idescreen:ide_dataset.png}}
  
 ---- ----
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 To create a dataset, click on "+" mini-button. The dataset is created with a default name, proceed to rename the dataset. To create a dataset, click on "+" mini-button. The dataset is created with a default name, proceed to rename the dataset.
  
-New dataset created is automatically added to the dataset drop-down list for [[State Properties]] and [[Transition Properties]].+New dataset created is automatically added to the dataset drop-down list for {{wiki:idescreen:ide_model_stateprop.png?linkonly | State Properties}} and {{wiki:idescreen:ide_model_transprop.png?linkonly | Transition Properties}}.
  
 Dataset is assigned to state and transition by name. If dataset is renamed after it's assigned to a state or transition, you must re-assign the dataset to those states and transitions. Dataset is assigned to state and transition by name. If dataset is renamed after it's assigned to a state or transition, you must re-assign the dataset to those states and transitions.
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 ==== Define Variables ==== ==== Define Variables ====
-Variables are used by [[#Combinatorial Algorithm]] to [[#Generate DataTable]].+Variables are used by {{https://csrc.nist.gov/projects/automated-combinatorial-testing-for-software | Combinatorial Algorithm}} to [[#Generate DataTable]].
  
   * //Variable Name// - variables must have unique names and preferably legal java variable names   * //Variable Name// - variables must have unique names and preferably legal java variable names
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 ====Generate DataTable==== ====Generate DataTable====
-Once you have the fields defined, you can generate the dataset for the fields by clicking on the //regenerate// link.+//DataTable// displays the output of the execution of [[#Combinatorial Algorithm]].
  
- +To generate //DataTable//, select an algorithm from //Overall Strength// drop-down list and click start button next to it.
-//Algorithm// - select from the drop down list of algorithms:+
     * pairwise     * pairwise
     * 3-wise     * 3-wise
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     * 5-wise     * 5-wise
     * 6-wise     * 6-wise
-    *  
-You can remove unwanted rows by clicking on {{http://testoptimal.com/img/delete.png}}. Each field in the datatable can be edited as you wish. 
  
-If you have verification field(s), they will be left blank. You can enter the appropriate values for each row. The results will be saved if //Persistence// checkbox is checked.+You may customize /edit //DataTable// under exceptional cases.   
 +  * remove rows - invalid permutations (rows) 
 +  * add rows - additional required permutations 
 +  * edit values - change value, usually done for derived variables
  
-During the model execution, the dataset will be loaded and traversed. Besides the option to traverse the datatable sequentially or randomly as described above, you can also control the sequence of which row to be used first programmatically in mScript by setting the user variable //dataset name//_idx.+Be aware that any changes to //DataTable// will affect the coverage, and the changes made will be lost next time //DataTable// is re-generated.
  
 ---- ----
 ==== Usage ==== ==== Usage ====
-Dataset can be assigned to a state or transition and datasets are automatically used during test generation to ensure transitions are traversed enough times to go through all rows in the dataset. +Dataset can be assigned to a state or transition. They are automatically incorporated into the test sequence generation to ensure transitions are traversed enough times to go through all rows in the dataset. 
  
-The rows in the dataset are retrieved and used as the states and transitions are traversed.  You can access the data fields on the current row with //$SYS.getData('fieldName')// in any of the state and transition //TRIGGER//+The rows in the dataset are retrieved and used as the states and transitions are traversed.  You can access the data fields on the current row in any of the state and transition //TRIGGER// 
 +   $SYS.getData('fieldName') 
 + 
 +To access the dataset outside the state/transition that dataset was assigned, use the following syntax instead: 
 +   $SYS.getDataSet('myDataSet').getData('fieldName') 
 +    
 +     
  
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