An Empirical Investigation on the Effect of Code Smells on Resource Usage of Android Mobile Applications

Code smells refer to suboptimal coding practices which impact software quality and non-functional requirements such as performance, maintainability, resource usage. Although desktop application code have been extensively studied in the literature, mobile applications are relatively new nature, effect of is only recently being on devices. This paper investigates refactoring enhancing both CPU usage Memory It presents a study three smells: HashMap Usage, Member Ignoring Method Slow Loop, eight open-source were selected from Github for testing purposes. The aforementioned refactored individually cumulatively their effects phone’s usage, with memory metrics choice. five different versions measured find optimal strategy. results obtained suggest that Usage Methods yielded significantly an average improvement 12.7% 13.7% respectively, while all up 7.1% research shows certain methods significant impacts improving These statistically can be used basis guidelines assist writing codes utilize smartphones’ resources more efficiently enhance quality.