Question - Why we use decision tables?
Answer -
The techniques of equivalence partitioning and boundary value analysis are often applied to specific situations or inputs. However, if different combinations of inputs result in different actions being taken, this can be more difficult to show using equivalence partitioning and boundary value analysis, which tend to be more focused on the user interface. The other two specification-based techniques, decision tables, and state transition testing are more focused on business logic or business rules. A decision table is a good way to deal with combinations of things (e.g., inputs). This technique is sometimes also referred to as a ’cause-effect’ table. The reason for this is that there is an associated logic diagramming technique called ’cause-effect graphing’ which was sometimes used to help derive the decision table