A System for Optimizing Software Regression Test Cases using Modified Ant Colony Optimization Algorithm

Software Regression Testing (SRT) is directed to existing applications to ensure that an adjustment of code doesn't impact the current functionalities. Test Case Prioritization (TCP) helps with rescheduling test cases and selects according to the course of action. Ant Colony Optimization (ACO) is a streamlining calculation spurred by looking through the conduct of bugs. This paper proposes a system for optimizing SRT test cases using the Modified-Ant Colony(m-ACO) Optimization algorithm. m-ACO is the modification of the ACO strategy. It rearranges the conduct grouping of test cases by switching the marvel of trademark bugs for picking the nourishment. The proposed system has been tried for Zasta Billing Web Application (ZBWA) and contrasted with the days to finish the SRT manually and utilize the suggested approach. The recommended system assists with diminishing the days conducted SRT from 90 days to 45 days to accomplish the period for SRT in that firm.