equivalence partitioning


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equivalence partitioning

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To create the equivalence class from WSDL and XSD of check credit card, the data are categorised into two groups: valid and invalid equivalence partitioning. This reduces the complexity of the data for testing, as shown in Figure 4.
Method Name: Check Credit Card Equivalence Partitioning Technique: Weak Robust Testing Valid Equivalence Partitioning EC1 = {Card Type: 1 [less than or equal to] Card Type [less than or equal to] 25} EC2 = {Card Number: 1 [less than or equal to] Card Number [less than or equal to] 19} Invalid Equivalence Partitioning EC3 = {Card Type: Card Type [less than or equal to] 0} EC4 = {Card Type: Card Type [greater than or equal to] 20} EC5 = {Card Number: Card Number [less than or equal to] 0} EC6 = {Card Number: Card Number [greater than or equal to] 20}
Several existing test methods (eg., Equivalence partitioning, Boundary Value Analysis, Category Partitioning) are based on the model that the input space of the test object may be divided into subsets based on the assumption that all points in the same subset result in a similar behavior from the test object.
Test case selection using equivalence partitioning allows the tester to subdivide the input domain to relatively smaller set of subdomains.
In early partition test methods like Equivalence Partitioning (EP) and Boundary Value Analysis (BVA), parameters of the test problem are identified.
Richardson and Clarke's [9] equivalence partitioning method is very similar to the revealing subdomain approach.
Equivalence partitioning depends crucially on a formal specification to allow the symbolic analysis that creates the specification domain.