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) and Combinatorial Testing.
It supports combinatorial test generation algorithms including Pairwise algorithm. For more advanced data generation.
To create a dataset, click on “+” mini-button. The dataset is created with a default name, proceed to rename the dataset.
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.
- Variable Name - variables must have unique names and preferably legal java variable names
- Data Type - appropriate data type must be selected especially if the variables are referenced by Derived variables
- Domain Values - a list of discrete values to be used to generate (populate) DataTable or groovy/java expression if Derived is checked
- Derived - check this box to exclude the variable from participating in the data generation. For example the variables you will use to validate result or variables that can be derived from other variables. If you
- Coupling - used to couple / tie this variable to another variable. For example CreditCardType and CreditCardNumber should be coupled together as CreditCardNumber for VISA must match CreditCardType of VISA. Variables coupled together must have the same number of Domain values.
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.
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
Be aware that any changes to DataTable will affect the coverage, and the changes made will be lost next time DataTable is re-generated.
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 in any of the state and transition TRIGGER
To access the dataset outside the state/transition that dataset was assigned, use the following syntax instead: