Decision Table Testing is a black-box technique to test combinations of conditions and actions. As a test engineer, here's what you need to know about Decision Table Testing:
Definition: Decision Table Testing is a technique that involves creating a table that shows all possible combinations of conditions and actions and then using this table to generate test cases.
Objective: The main aim of Decision Table Testing is to identify and test all possible combinations of conditions and actions and to ensure that the system or application behaves correctly under each variety.
Process: Decision Table Testing involves identifying the conditions and actions that need to be tested and then creating a table that shows all possible combinations of these conditions and actions. The table is then used to generate test cases that cover all possible combinations.
Advantages: Decision Table Testing can help identify errors and defects due to different combinations of conditions and actions. It also helps reduce the number of test cases required to test a system or application, as it allows for testing multiple conditions and activities in a single test case.
Limitations: Decision Table Testing may be ineffective for complex systems or applications where the number of conditions and actions is too large or where the interactions between states and actions are too complex to be represented in a table. It may only be effective if the conditions and actions are clearly defined or if there are too many possible combinations to test.
Examples: Examples of Decision Table Testing include testing a loan approval system that considers factors such as income, credit score, and loan amount to decide on loan approval or testing an online store that offers different shipping options based on factors such as delivery location, item weight, and delivery time.