Detecting Bad Smells in Object Oriented Design Using Design Change Propagation Probability Matrix
A. Ananda Rao, K. Narendar Reddy · 2008
Abstract--- Object oriented software systems are subject to frequent modifications either during development (iterative, agile software development) or software evolution. For such systems which have large number of classes, detection of design defects is a complex task. Bad smells are used to identify design defects in object oriented software design. Identification of bad smells allows us to apply appropriate refactorings to improve the quality of design. In existing bad smell detection systems, bad smells are generally detected using human intuition, and recently, people started developing quantitative methods. As human intuition is subjective, the quantitative methods to detect bad smells are effective as they do not include subjectivity (bias) and allows for automation. This paper proposes a quantitative method. The proposed quantitative method makes use of the concept design change propagation