Why decision tables are used in many cases instead of boundary value and equivalence partitioning analysis?

- A decision table is an efficient way to deal with combinations of things (for example inputs).

- Techniques of boundary value analysis and equivalence partitioning are generally applied to specific situations or inputs.

- If different combinations of inputs result in different actions being taken, it can be more difficult to show using equivalence partitioning and boundary value analysis that tend to be more focused on user interface.

- The other two specification based approaches - decision tables and state transition testing are more focused on business rules or business logic.