Modified-multi objective firefly optimization algorithm for object oriented applications test suites optimization

Abstract

Model-based testing is a crucial but challenging stage of the software development process. The process of model-based testing needsto be optimized, which is a difficult task. In this article, we present an approach for selecting minimum test suites that is based on themeta-heuristic firefly algorithm. We modify the firefly algorithm and define the suitable multi-objective function to optimize the testsuites. The suggested approach uses firefly behavior to address the current issue. The modified approach chooses the best test suitesthat quickly find the maximum coverage in less time.