Test case prioritization: An approach based on modified ant colony optimization (m-ACO)

Intense and widespread usage of software in every field of life has attracted the researchers to focus their attention on developing the methods to improve the efficiency of software testing; which is the most crucial and cost intensive phase of software development. Software testing aims to uncover the potential faults in Application Under Test by running the test cases on software code. Software code keeps on changing as the uncovered faults during testing are fixed by the developers. Regression testing is concerned with verifying the modified software code to ensure that changes in software code does not induce any undesired effect on rest of the code. Test Case Prioritization is a regression testing technique which re-schedule the execution sequence of test cases to improve the fault detection rate and enhance the performance of regression test suite. This paper focuses on proposing a novel method "m-ACO" for test case prioritization and the performance evaluation of the proposed method using Average Percentage of faults Detected.