One weakness of boundary value analysis and equivalence partitioning is

Answer: they do not explore combinations of input circumstances.

Explanation: Boundary value analysis focuses on values at or near the edges of input ranges, and equivalence partitioning groups inputs into classes and selects representative values. Both techniques reduce the number of test cases by choosing representative inputs rather than exhaustively combining inputs.

• They select individual representative values or boundary values for each input.

• They do not systematically combine representatives from multiple inputs, so interactions between inputs can be missed.

• Example: two input fields with three partitions each can produce many combinations; testing only representatives may miss a bug triggered by a specific pair of values.

• To address this weakness, use complementary techniques such as pairwise (combinatorial) testing, decision table testing, or targeted exploratory testing to cover interactions between inputs.