使用软件分析实现更绿色的软件工程:一个系统的映射

Hina Anwar, Dietmar Pfahl
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引用次数: 13

摘要

软件工程中的可持续性是一个相对较新的快速发展的研究领域。绿色软件工程旨在生产对环境负面影响最小的可持续软件产品。为了制造更环保的软件产品,软件从业者需要可操作的及时信息,以便在开发期间在能源效率和其他质量属性(如性能)之间做出有用的权衡。软件分析可以用来提供这种支持,因为它可以组合来自不同软件工件的信息并将其转换为有用的信息。本文的目的是概述2015-16年绿色软件工程领域的子领域、贡献类型、研究类型、研究方法、未来研究潜力和软件分析的作用。我们采用了系统的制图方法,并在六个在线数据库中进行了研究检索。根据纳入/排除标准对论文进行筛选,经分析和数据提取后对50篇入选研究进行分类。我们发现在绿色软件工程领域有很多验证性的研究,但是很少有评价和经验方面的论文。在绿色软件工程领域的50篇论文中,只有11篇使用了软件分析技术来促进绿色软件工程。我们的结果表明,需要为软件从业者开发新的/改进的自动化软件分析工具,以及解释能源使用和其他质量属性之间相关性的度量。
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Towards Greener Software Engineering Using Software Analytics: A Systematic Mapping
Sustainability in software engineering is a relatively new and fast growing field of research. Green software engineering aims to produce sustainable software products with minimum negative impact on the environment. In order to make greener software products, software practitioners need actionable timely information, to make useful trade-offs between energy efficiency and other quality attributes, like performance, during development. Software analytics could be used to provide this support, as it combines information from different software artifacts and converts it into useful information. The objective of this paper is to provide an overview of the sub-domains, contribution types, research types, research methods, future research potentials and the role of software analytics in the field of green software engineering in 2015-16. We applied the systematic mapping method and conducted a search for studies in six online databases. Screening of papers was done according to inclusion/exclusion criteria and 50 selected studies were classified after analysis and data extraction. We found that there are many validation studies but hardly any evaluation and experience papers in the domain of green software engineering. Only 11 out of 50 papers in the green software engineering domain used software analytics techniques to foster green software engineering. Our results indicate the need to develop new/improved automated software analytics tools for software practitioners along with metrics explaining the correlation between energy usage and other quality attributes.
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