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tutorial:comb_data_modeling [2020/06/12 02:04] 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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Feel free to experiment with different generation algorithms. | Feel free to experiment with different generation algorithms. | ||
+ | When selecting //Mixed// algorithm, you will see an additional section displayed below the header (variable names): | ||
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+ | {{wiki: | ||
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+ | //Mixed// algorithm allows you to selectively apply different interaction strength (pairwise vs three-wise, etc.) for specific subset of variables. | ||
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+ | We will not cover //Mixed// algorithm here, but you can find more details about //Mixed// algorithm in [[../ | ||
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===== Make Changes ===== | ===== Make Changes ===== | ||
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+ | As you must have figured out that you can easily add additional variables and remove any variables from the model. | ||
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+ | Other changes are adding, removing and changing the domain values of each variable. | ||
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+ | Upon any changes to the model, you should always re-generate // | ||
- | ===== ===== | ||