A Critical Review on Test Case Prioritization and Optimization using Soft Computing Techniques

Test case prioritization involves scheduling test cases in an order that increases the effectiveness in achieving some performance goals. One of the most important performance goals is the rate of fault detection. Test cases should run in an order that increases the possibility of fault detection and also that detects the most severe faults at the earliest in its testing life cycle. Regression Testing is an usual and a very costly activity to be performed, often in a time and resource constrained environment. Thus we use techniques like Test Case Selection and Prioritization, to select and prioritize a subset from the complete test suite, fulfilling some chosen criteria. Present paper gives the approach into existing single objective test cases prioritization and optimization using techniques such as Genetic Algorithms, Ant Colony Optimization. Key Word: Test Case Prioritization, Regression Testing, Genetic Algorithm (GA), Prioritization Factors, Ant Colony Optimization