非功能性属性的自主遵从性监控

Marc Brünink
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引用次数: 1

摘要

虽然对功能需求有很好的理解,并且需要在开发期间对它们进行测试,但非功能需求更难以捉摸。定义非功能性需求最终可能成为消耗大量资源的主要任务。即使在定义了非功能性需求之后,它们也很可能无法反映已部署系统的实际使用情况。由于工作负载、硬件或所使用的第三方库,可能会出现差异。为了应对这些挑战,我们提出了一种针对非功能性属性的全自动遵从性监控解决方案。该系统挖掘系统的稳定行为模式,并自动提取可用于检测预期非功能行为偏差的断言。我们特别关注需要运行时观察的非功能属性,例如执行时间、性能、吞吐量。该过程的完全自动化使其能够在现场部署,从而产生分布式非功能行为提取系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Autonomous compliance monitoring of non-functional properties
While there is a good understanding of functional requirements and the need to test them during development, non-functional requirements are more elusive. Defining non-functional requirements can end up in a major undertaking consuming significant resources. Even after defining non-functional requirements, chances are they do not reflect the real-world usage of a deployed system. Differences can occur due to workload, hardware, or utilised third-party libraries. To tackle these challenges we propose a fully automatic compliance monitoring solution for non-functional properties. The proposed system mines stable behavioural patterns of the system and automatically extracts assertions that can be used to detect deviations of expected non-functional behaviour. We especially focus on non-functional properties that require runtime observation, e.g. execution time, performance, throughput.The full automation of the process enables a deployment in the field, giving rise to a distributed non-functional behaviour extraction system.
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