What is a minimal set of input values that cover the equivalence partitions for a cooking supplies e-commerce system?

To determine the minimal set of input values that cover the equivalence partitions for a cooking supplies e-commerce system, we need to understand the concept of equivalence partitioning. This testing technique involves dividing input data into partitions or categories where the system is expected to behave similarly. Selecting representative values from these partitions helps ensure comprehensive testing without redundancy.

In this context, the chosen set covering the equivalence partitions should ideally include values that represent different categories relevant to the cooking supplies system, such as valid inputs, invalid inputs, and edge cases.

The answer provided, consisting of the values 0.2, 0.9, and 29.5, is appropriate for the following reasons:

1. Diversity of Input Values: This set includes values that likely cover different types of equivalence classes. For example, 0.2 and 0.9 could represent different ranges of acceptable weights for products, while 29.5 might represent an extreme or upper limit of permissible input values.

2. Covering Valid and Invalid Inputs: By including numbers that fall just within valid boundaries and others that are potentially at or just beyond the edges of what's acceptable, this selection captures both valid classes (e.g., typical weights of cooking supplies