test-cases

To design a minimal set of unit test cases with maximum coverage, apply equivalence partitioning and boundary value analysis to identify critical scenarios, then use orthogonal or pairwise reduction techniques to eliminate redundant tests while maintaining sufficient coverage.

Equivalence partitioning is a black-box testing technique that divides input data into valid and invalid classes, ensuring each class is tested only once. It controls test-suite size by minimizing redundant test cases while maintaining coverage of distinct software behavior scenarios.

Boundary value analysis identifies robust unit tests by targeting the edges of equivalence partitions. Testing minimum, maximum, and just-out-of-bound values exposes off-by-one errors and edge-case failures that typical input selection often misses during software testing.

Yes, pairwise testing reduces test-suite size by selecting combinations of input parameters that cover all possible pairs. This orthogonal reduction technique controls explosion in test cases while still exposing defects caused by specific component interactions in your system under test.

Yes, the guided workflow supports both black-box and white-box test design. It analyzes system behavior and internal structure during pair-programming sessions to derive a justified final catalog of test cases, ensuring comprehensive coverage from both external and internal perspectives.

The best way to structure a final catalog of unit test cases is to document each selected test with a clear coverage rationale and justification. This ensures every test case maps directly to a specific requirement, boundary value, or equivalence class identified during analysis.