Partial PSABC Based Test Case Prioritization Using Regression Testing In Agile Software

Abstract

The key component for assessing the software performance is how well it performs. Testing is broadly used in industry for quality assurance. Test case prioritization organizes the test cases in a test suite by ordering in such a manner that the most critical test cases are executed first thereby increasing the effectiveness of testing. Optimization techniques have been effectively used in test case generation and prioritization. In this paper a hybrid model called Partial Particle Swarm Artificial Bee Colony algorithm (Partial PSABC) has been proposed. The Partial PSABC algorithm is a combination of Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) Algorithm. The main objective is to find the areas with highest coverage and highest usage, so that failures could be identified at an earlier stage.