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Equivalence partitioning is a method intended to determine test cases. It is a black-box test designtechnique aimed at lowering the number of test cases that must be developed and executed, whilst maintaining sufficient test coverage. The process focuses on identifying sets of equivalent data (each of which makes the application behave just the same and yield the same output) and dividing (partitioning) them into a subset of all possible test cases that are most likely to detect defects in the application’s functionality.

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Boundary value analysis is a specification based testing technique which allows selecting the specific values that lie along the boundary cases of the equivalence classes. This is also a black box test design approach which makes it easier to identify the sets of redundant test cases and select test cases that are most likely to find a problem.

Domain analysis, domain testing is one of the most widely practiced and commonly taught software testing techniques based on the equivalence class & boundary value analyses. It allows creating successful test cases which affect several parameters (variables) simultaneously (including interdependence of these parameters). This technique also describes approaches to the selection of a minimum set of demonstration test cases from the entire set of possible test cases.

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Pairwise testing is an all-pairs testing technique in which test cases are meant to check all possible pairs of input values. This is the most common application of N-wise testing that can considerably reduce testing costs.

Orthogonal array testing is a combinatorial test technique that is a statistical and systematic approach to software testing process. It provides evenly distributed coverage of pre-wise interactions. For this reason, the technique is especially suitable for integration testing of an IT application’s components. By the way, there are continuous integration services available to help you build and release software products faster than usual, by eliminating blind spots in them.