软件重构中的多目标优化技术:系统的文献综述

Muhammad Zaid Rafique, K. Alam, Umer Iqbal
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引用次数: 0

摘要

软件重构是软件维护的一项基本活动。它旨在改进程序的内部结构而不影响其外部功能,这不仅有助于提高可维护性和可读性,而且有助于降低整体软件的复杂性。有许多不同的手册和自动化软件重构工具可用,但这些工具大多专注于单一目标重构,即提高质量或减少代码行数。软件重构涉及的因素很多,不同的作者提出了不同的多目标软件重构方法。我们对多目标软件重构领域发表的研究进行了系统的文献分类和分析。我们研究的主要目的是根据4个标准对多目标软件重构的研究进行分类。我们考虑了2014年至2019年电子数据库中的研究。根据我们的纳入-排除标准和质量评估标准,共确定了19项研究。我们的研究结果表明,NSGA-II在多目标软件重构领域是一种广泛流行的技术,而NSGA-III在考虑多目标时更受欢迎。此外,还确定了11个最广泛使用的开源和工业项目,这些项目用于评估多目标软件重构方法。研究还发现,准确率、召回率和反生成距离是常用的评价指标。研究的时间分布表明,2016年是该领域研究成果最多的一年。我们的结果显示,76%的研究根据我们预定义的质量评估标准排名较高。基于我们的研究结果,我们得出结论,多目标软件重构仍然是一个新兴领域,需要应用最新的、最先进的多目标方法来获得更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Objective Optimization Techniques for Software Refactoring: A Systematic Literature Review
Software Refactoring is an essential activity of software maintenance. It aims at improving the internal structure of the program without affecting its external functionalities which not only aids in improving maintainability and readability but also helps in reducing overall software complexity. Many different manuals and automated software refactoring tools are available but most of these tools focus single objective refactoring i.e. improving the quality or reducing the code lines. Software refactoring involves many factors so different authors have proposed different multi-objective software refactoring approaches. We have performed systematic literature to classify and analyzed the studies published in the field of multi-objective software refactoring. The main objectives of our research are to categorize the studies on multi-objective software refactoring according to 4 criteria. We have considered studies from electronics databases from 2014 to 2019. A total of 19 studies were finalized based on our inclusion-exclusion and quality assessment criteria. The results of our research show that NSGA-II is a widely popular technique in the domain of multi-objective software refactoring whereas NSGA-III is popular when many objectives were considered. Furthermore, 11 most widely uses open source and industrial projects are identified which are used to evaluate the multi-objective software refactoring approaches. It was also observed that Precision, Recall and Inverse Generation Distance are commonly used evaluation metrics. The chronological distribution of studies shows that 2016 was the most productive research year in this field. Our results show that 76% of studies are ranked high based on our predefined quality assessment criteria. Based on our results we have concluded that multiobjective software refactoring is still an emerging field and there is a need to apply the latest state-of-the-art multi-objective approaches to get better results.
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