On the Application of Quick Artificial Bee Colony Algorithm (qABC) for Attenuation of Test Suite in Real-Time Software Applications

Software testing plays a vital role during the software development process, as it ensures quality deployment. Success of depends on design effective test cases. To achieve optimization generated cases, proposed approach combines both global and local searches by means intelligent agents which exhibit behaviour employed bees, onlooker scout bees in qABC algorithm. The algorithm has key improvements over basic artificial bee colony (ABC) reducing redundancy, filtering cases each iteration parallel working bees. Further, fitness evaluation is done employing two adequacy metrics namely path coverage mutation score. experimental qABC, GA, ABC based using several case study applications. result shows that outperforms other algorithms terms effectiveness revealing faults with less time smaller number