A review on search-based tools and techniques to identify bad code smells in object-oriented systems

Abstract

Researchers have provided various techniques and tools in the past few years for identification of code smells. Due to their changing outcomes and features, the classification, comparison, and evaluation of this existing code smell detection techniques and tool are imperative. This paper presents the current state of the art in the area of approaches that use search-based techniques to identify code smell from the source code of object-oriented systems. The classification of code bad smells approaches is done on the basis of their detection and analysis method. The results of selected techniques were analyzed. The observations and recommendations were presented after critical analysis of existing code smell detection approaches. These observations and recommendations can help the researchers and practitioners working in the area of designing a tool/technique for code smell detection.