Test Design Techniques Flashcards

Which test design technique divides input data into groups where all values in a group are expected to be processed the same way?

Answer: Equivalence partitioning

Equivalence partitioning divides inputs into classes (partitions) where every value in a class is expected to behave identically, reducing the number of test cases needed.

When applying boundary value analysis (BVA) to a field that accepts values from 1 to 100, which set of values should be tested?

Answer: 0, 1, 2, 99, 100, 101

BVA tests the minimum, minimum+1, maximum-1, maximum, and the values just outside those boundaries (0 and 101), giving 0, 1, 2, 99, 100, 101.

A decision table test design technique is MOST useful when:

Answer: Multiple conditions combine to produce different actions

Decision tables are best suited when the outcome depends on combinations of multiple conditions, systematically capturing all condition/action combinations.

In equivalence partitioning, which statement about invalid partitions is CORRECT?

Answer: Only one test case from each invalid partition is needed

Like valid partitions, one representative test case per invalid partition is sufficient because all values within that partition are expected to behave the same way.

Which black-box test design technique creates test cases based on cause-effect relationships between inputs and outputs?

Answer: Decision table testing

Decision table testing explicitly models cause-effect relationships by listing conditions (causes) and their corresponding actions (effects) in a tabular format.

What is the PRIMARY purpose of pairwise (all-pairs) testing?

Answer: Test all combinations of two input parameters while reducing total test cases

Pairwise testing ensures every combination of any two parameters is covered at least once, significantly reducing the number of test cases compared to exhaustive combinatorial testing.

Which of the following BEST describes the 'error guessing' test design technique?

Answer: An experience-based technique where testers use knowledge of typical errors to design tests

Error guessing relies on the tester's experience and intuition about where defects are likely to occur, targeting historically problematic areas without a formal process.