Effectiveness of Code Smells on Energy Profiling of Android Applications
Keywords:
Code Smells, Android, Energy Consumption, Energy profiling,, CPU profiling, RefactoringAbstract
Bad coding techniques that go against basic design principles known as code smells, have a detrimental effect on the maintainability, performance, and resource utilization of software. The usefulness of code smells for Android application energy profiling is examined in this study. Five distinct code smells are examined, namely, the use of hash maps, internal getter/setter, slow loop, member ignoring method, and god class. Choosing an existing Android application corpus from GitHub, detecting code smells with tools like aDoctor and PMD, manually modifying the smells, and assessing the effect on energy usage with the Android Profiler are the steps in the research approach. As compared to the pre-refactored code, the results show that restructuring code smells improves energy efficiency by lowering memory utilisation and energy consumption levels. The research emphasises on of addressing code smells to optimize resource usage and enhance the overall performance of mobile applications.
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