Survey on Trust in Software Engineering for Autonomous Dynamic Ecosystems

IF 0.4 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Barbora Buhnova, David Halasz, Danish Iqbal, Hind Bangui
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引用次数: 0

Abstract

Software systems across various application domains are undergoing a major shift, from static systems of systems to dynamic ecosystems characterized by largely autonomous software agents, engaging in mutual coalitions and partnerships to complete complex collaborative tasks. One of the key challenges facing software engineering along with this shift, is our preparedness to leverage the concept of mutual trust building among the dynamic system components, to support safe collaborations with (possibly malicious or misbehaving) components outside the boundaries of our control. To support safe evolution towards dynamic software ecosystems, this paper examines the current progress in the research on trust in software engineering across various application domains. To this end, it presents a survey of existing work in this area, and suggests the directions in which further research is needed. These directions include the research of social metrics supporting trust assessment, fine-grained quantification of trust-assessment results, and opening the discussion on governance mechanisms responsible for trust-score management and propagation across the integrated software ecosystems.
自主动态生态系统软件工程信任研究
跨不同应用领域的软件系统正在经历一个重大转变,从静态的系统系统到动态的生态系统,这些生态系统以很大程度上自主的软件代理为特征,参与相互联盟和伙伴关系来完成复杂的协作任务。随着这种转变,软件工程面临的关键挑战之一是我们准备利用动态系统组件之间建立相互信任的概念,以支持与我们控制范围之外的组件(可能是恶意的或行为不当的)的安全协作。为了支持向动态软件生态系统的安全演进,本文考察了软件工程在不同应用领域的信任研究的最新进展。为此,本文对该领域的现有工作进行了综述,并提出了需要进一步研究的方向。这些方向包括支持信任评估的社会指标的研究,信任评估结果的细粒度量化,以及对负责信任评分管理和跨集成软件生态系统传播的治理机制的讨论。
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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来源期刊
Applied Computing Review
Applied Computing Review COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率
40.00%
发文量
8
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