A multi-objective test case prioritization real-world case study is presented.
Seven objective functions based on functional and non-functional data are proposed.
Comparison of the effectiveness of 63 combinations of up to three objectives.
NSGA-II evolutionary algorithm to solve the multi-objective prioritization problem.
Multi-objective prioritization is more effective than mono-objective approaches.