Using the decision table technique, what is the minimum number of test cases needed based on provided conditions and results?

The decision table technique is a systematic approach used in software testing to explore all possible combinations of conditions and corresponding actions or outcomes. It is particularly useful when dealing with complex logical relationships between different inputs and the system's responses.

To determine the minimum number of test cases needed using this technique, one must first break down the various conditions and the potential outcomes associated with them. Generally, the number of test cases can be calculated using the expression (2^n), where (n) is the number of conditions, assuming that each condition has two possible states (true or false).

However, in many situations, conditions can have more than two possible states or outputs, which would require additional considerations. For instance, if you have conditions with varying states, you might end up needing more combinations than just the binary setup, thus increasing the number of required test cases.

In this scenario, if we arrive at the answer of 15 by performing the calculations correctly based on the number of conditions and decisions within the provided context, it indicates that we may have conditions with more complexity than binary choices, or there are additional combinations that must be considered in order to cover all scenarios adequately.

Considering decision tables as a structured method ensures that all logic paths are accounted for,