An Empirical Investigation into Code Smell Elimination Sequences for Energy Efficient Software

Garima Dhaka, Paramvir Singh
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引用次数: 7

Abstract

Recent research has shown that maintainability improving activities, such as removing code smells using recommended refactoring activities, may degrade the energy consumption behavior of software systems. However, current research is still immature and requires considerable effort for transferring findings to practice. This work empirically investigates the impact of eliminating a set of three notorious code smells, individually as well as in all six possible sequences, on energy consumption behavior of software systems. It also analyzes whether any relationship exists between software architecture sustainability (in terms of energy efficiency) and maintainability within the context of individual and sequential code smell elimination. The study outcomes show that the selected code smell removal permutations yield variant levels of energy consumption values for the resulted refactored software versions. Also, a particular permutation is learned to yield most energy-efficient refactored software versions, when compared to all other code smell removal permutations.
节能软件代码气味消除序列的实证研究
最近的研究表明,可维护性改进活动,例如使用推荐的重构活动去除代码气味,可能会降低软件系统的能耗行为。然而,目前的研究还不成熟,需要大量的努力才能将研究成果转化为实践。这项工作从经验上调查了消除一组三种臭名昭著的代码气味对软件系统能耗行为的影响,无论是单独的还是在所有六种可能的序列中。它还分析了软件架构可持续性(就能源效率而言)和可维护性之间是否存在任何关系,这些关系存在于单个和顺序代码气味消除的上下文中。研究结果表明,所选择的代码气味去除排列会产生不同水平的重构软件版本的能耗值。此外,与所有其他代码气味去除排列相比,我们学习了一种特定的排列,以产生最节能的重构软件版本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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