Concepts and Models of Environment of Self-Adaptive Systems: A Systematic Literature Review

Yong-Jun Shin, Joon-Young Bae, Doo-Hwan Bae
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引用次数: 5

Abstract

The runtime environment is an important concern for self-adaptive systems (SASs). Although researchers have proposed many approaches for developing SASs that address the issues from runtime environments, the understanding of these environments varies depending on the objectives, perspectives, and assumptions of the research. Thus, the current understanding of environments in SAS development remains ambiguous and abstract. To make this knowledge more concrete, we investigated concepts and models of the environment covered in this area through a systematic literature review (SLR). We automatically and manually searched 3719 papers and selected 128 papers as primary studies. We explored and analyzed concepts of the environment covered in the primary studies and investigated cases in which the concepts were specifically expressed as environment models. In doing so, we provide trends of how SAS academia understands the environment of SAS. Specifically, this SLR provides five common characteristics of the environment, two common sources of the environmental uncertainty, and 14 reference environment models with various purpose and expressiveness. Finally, we summarized lessons learned through this SLR and directions for future SAS research on the basis of the concrete knowledge of the SAS environment.
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自适应系统的环境概念与模型:系统文献综述
运行时环境是自适应系统(SASs)的一个重要关注点。尽管研究人员已经提出了许多开发SASs的方法来解决运行时环境中的问题,但对这些环境的理解取决于研究的目标、观点和假设。因此,目前对SAS开发中的环境的理解仍然是模糊和抽象的。为了使这些知识更加具体,我们通过系统文献综述(SLR)调查了该领域所涵盖的环境概念和模型。我们自动和手动检索了3719篇论文,选择了128篇论文作为主要研究。我们探索和分析了主要研究中涵盖的环境概念,并调查了将这些概念具体表达为环境模型的案例。在此过程中,我们提供了SAS学术界如何理解SAS环境的趋势。具体来说,该单反提供了环境的5个共同特征,2个环境不确定性的共同来源,以及14个具有不同目的和表达能力的参考环境模型。最后,在SAS环境具体知识的基础上,总结了本次SLR的经验教训和未来SAS研究的方向。
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