Software testing is very important for ensuring software quality in organizations. In fact, the quality of test suite plays an important role for the success of software testing .Ant colony optimization (ACO) which is a part of Swarm Intelligence is used to settle optimization problem. This paper attempts to provide ideas of Test Case Selection and Prioritization which Ant Colony Optimization which can be helpful for the researchers who are working on software testing. There is a great expectation in the field of Swarm Intelligence as it always comes with a challenging thought. ACO is one of such promising approaches for its application in Software Testing.
This paper proposed software testing system by using Artificial Intelligent techniques. In today's scenario, Software Testing is a critical issue in software development and maintenance for increasing the quality and reliability of the software. In Software Testing, regression testing is often performed and researchers are finding ways to reduce the regression testing cost. In this paper, an approach is proposed which draws inspiration from Swarm Intelligence to reduce test suite for regression testing. .This approach will strive to get the best optimal solution and contribute a lot in considerably reducing the testing cost, efforts and time of regression testing.
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