TEST CASE REDUCTION USING STATEMENT COVERAGE BASED ANTCOLONY SYSTEM

Abstract

Prioritization of test cases and ordering them for improving the performance of regression testing has become an important researchsubject in recent technology. This paper presents an appropriate method for the Ant Colony System (ACS) to address the problem ofcoverage-based test case priority setting. A tour-based heuristic mechanism and a tree-shaped updation of pheromone rule are used inthis method. The underlying logic is in their later journey, the partially built solutions of the antsare used, and their search is variedsimultaneously. To improve the algorithm’s convergence speeda sorting based local search mechanism was used. The propound method is tested and the experimental results have shown that this technique will surpass other state-of-the-artmethods in terms of Average Percentage of Statement Coverage(APSC).Subsequently ,reduced significant number of test cases and help the software testers for immediate testing process.