Assistant professor,

In computer programming, code smell may origin of latent problems in source code. Detecting and resolving bad smells remain time intense for software engineers despite proposals on bad smell detecting and refactoring tools. Numerous code smells have been recognized yet the sequence in which the detection and resolution of different kinds of code smells are performed because software engineers do not know how to optimize sequence. In this paper, the novel refactoring approach is proposed to improve the performance of programs. In this recommended approach the code smells are automatically detected and refactored. The simulation results propose the reduction of time over the semi-automated refactoring are achieved when code smells are refactored by using multi-step automated refactoring