Pairwise Testing: Combinatorial Optimization for Test Coverage
Combinatorial optimization: all-pairs algorithm, PICT tool, orthogonal arrays, 90% defect coverage
Exploring different testing approaches: functional, regression, integration, and testing methodologies like Agile and BDD
Combinatorial optimization: all-pairs algorithm, PICT tool, orthogonal arrays, 90% defect coverage
Systematic combination coverage: n-wise testing, ACTS tool, covering arrays, classification trees
Adaptive testing methodology: 7 CDT principles, situational approach, vs best practices, real cases
Test without oracle: metamorphic relations, ML/AI testing, scientific computing, compiler validation
Structured exploratory testing: charters, missions, debriefing, SBTM metrics, Rapid Software Testing
Collaborative specifications: living documentation, FitNesse, Concordion, examples as requirements
Business risk prioritization: risk matrix, mitigation strategies, test effort allocation, ROI focus
Generate tests from models: state machines, UML diagrams, GraphWalker, ModelJUnit, coverage criteria