International Journal of Advances in Computer Science and Its Applications
Author(s) : BHARTI SURI, SHWETA SINGHAL
Regression testing is a crucial and often costly software maintenance activity. In order to regain confidence in correctness of the system whenever modifications are made, we retest the software using existing test suite. But regression test suites are often too large to re-execute in the given time and cost constraints and thus we use test case selection and prioritization techniques. Ant Colony Optimization is a meta-heuristic approach that has been applied for time-constraint test case selection and prioritization. We performed an experiment to evaluate the effectiveness of the proposed algorithm and compared it with other techniques using APFD metrics. Our results highlight close proximity to optimal solution and show the time reduction achieved by this technique.