CSADF: ingesting cuckoo search optimization algorithm enabled with fitness function for effective model transformation pertaining to ADF

Model transformation (MT) is one of the prominent research problems in the field of software engineering. Model transformation make the source model to target model by considering the fitness function. MT can be developed by optimization criterion by concerning various practical swarm optimization (PSO) methods. The main goal of this research is to convert UML class diagram (CL Model) to relational schema (RS Model) pertaining to Adaptive dragonfly algorithm (ADF), most of the researchers are work on this area by concerning various optimization algorithm. In this proposed research method, model transformation is achieve using Cuckoo search algorithm along with adaptive dragonfly algorithm (ADF), by combining these two algorithms, proposed method will elaborate further. Fitness function of proposed method is taken in to consideration for better performance. By pertaining Levy flight concept try to improve the accuracy for model transformation as well. Further accuracy will check through Automatic Correctness (AC)and fitness value generated from the proposed system, and finally it is compared with existing method and drawn the conclusion based on accumulated result.