Test Smarter, Not Harder by Scott Sehlhorst - developer.*, Developer Dot Star
Exhaustive testing of complex software with millions of input combinations is economically impractical, so this article presents more efficient testing strategies based on statistical sampling and combinatorial analysis. Random sampling requires prohibitively large test suites for high quality standards, while pairwise and N-wise testing (particularly N=3) can achieve 90% code coverage with dramatically fewer tests—reducing a 2.3 million-combination scenario to just 179 tests. The article further demonstrates how applying knowledge of the application architecture—such as mapping control dependencies, grouping related inputs, and eliminating equivalent values—can reduce test suite size even further, achieving strong quality assurance within realistic budgetary constraints.