Equivalence partitioning testing as applied by QA Valley divides test cases into subsets or partitions and executes these subsets with the understanding that if a test case passes in one partition, then it is highly that it will pass in other partitions.
Equivalence partitioning is a software testing technique involving testing an application with different test conditions, where test conditions are divided into test or groups that are the same or equivalent. This testing type reduces the number of redundant test cases by eliminating those that generate the same output and do not necessarily reveal defects in program functionality. Each partitioning has several test conditions in the form of test cases that we assume gives the same result, so only one condition needs to be tested and analyzed to mark a partition as valid or invalid.
Performing equivalence partitioning requires identification of data set as an input condition that output the same result while executing a program and partitioning them. It decreases an infinite number of test cases to a finite number while guaranteeing that the selected test cases are still effective, which will cover all possible scenarios. Consider an application that accepts input range from 1 to 100, Using equivalence class, valid inputs will be between 1 to 100 and invalid input would be any value below 1 and any value above 100, one test case would represent each of these valid and invalid class.
Intelligent techniques are used by QA Valley teams to select the right test cases from a huge test-case pool which ensures that all scenarios are covered. QA Valley equivalence partitioning provides a logical base by which a subset of the total conceivable number of tests is selected. QA Valley equivalence partitioning testing reduces redundancy considerably thus making the process agile and powerful. QA Valley equivalence partitioning offers numerous benefits to the team and ensures compliance of the product with customer requirements. QA Valley team establishes proper equivalence relation with extra efforts which results in inaccurate results of the tested application.