Towards Continuous and Data-driven Specification and Verification of Resilience Scenarios

Sebastian Frank, M. A. Hakamian, Lion Wagner, J. V. Kistowski, A. Hoorn
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Abstract

Microservice-based software systems aim to be re-silient to changes, which lead to transient behavior. Precisely specifying resilience requirements is challenging, as transient behavior is complex and subject to uncertainty. We envision a process of continuous resilience requirement specification and verification at runtime, which assists software architects in understanding their system and continuously improves the quality and quantity of the specified resilience requirements. The envisioned approach uses specifications in easy-to-use formats like scenarios and property specification patterns, which can be automatically verified based on various data sources, i.e., monitoring, simulation, and chaos experiments. Furthermore, it provides suggestions for improving requirements through visualization and interaction. Our preliminary results consist of several tools, e.g., the resilience simulator MiSim and Resirio for elicitation and specification of initial resilience scenarios.
面向弹性场景的连续和数据驱动的规范和验证
基于微服务的软件系统的目标是对导致短暂行为的变化保持弹性。精确地指定弹性需求是具有挑战性的,因为瞬态行为是复杂的,并且受制于不确定性。我们设想了一个持续的弹性需求规范和运行时验证的过程,它可以帮助软件架构师理解他们的系统,并不断提高指定弹性需求的质量和数量。设想的方法使用易于使用的格式的规范,如场景和属性规范模式,这些规范可以基于各种数据源(即监控、模拟和混沌实验)自动验证。此外,它还提供了通过可视化和交互来改进需求的建议。我们的初步结果包括几个工具,例如,弹性模拟器MiSim和Resirio,用于启发和规范初始弹性场景。
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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