Fault Coverage-Based Test Case Prioritization and Selection Using African Buffalo Optimization

Software needs modifications and requires revisions regularly. Owing to these revisions, retesting software becomes essential ensure that the enhancements made, have not affected its bug-free functioning. The time cost incurred in this process, need be reduced by method of test case selection prioritization. It is observed many nature-inspired techniques are applied area. African Buffalo Optimization one such approach, regression In paper, proposed work explains proves applicability approach algorithm converges polynomial (O(n2)). empirical evaluation applying for prioritization done on sample data set with multiple iterations. An astounding 62.5% drop size a 48.57% runtime original suite were recorded. obtained results compared Ant Colony Optimization. comparative analysis indicates exhibit similar fault detection capabilities (80%), reduction overall execution resultant suite. analysis, hence, advocate encourages use area