RV-SLC: A Tool for Regression Validation of Safety and Liveness Constraints on Goal Models in DevOps Environment

Palak Ambade, Diptiben Solanki, Novarun Deb
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Abstract

Requirements keep changing and getting updated in any incremental software development - including DevOps. The notion of regression validation ensures compliance to a given set of rules (or properties) even when either the requirement set changes or the associated rules themselves change due to new business policies and regulations. In this tool paper, we propose the RV-SLC tool which has the SLC framework at its core. The tool uses a formal data model that demonstrates how regression validation of safety and liveness constraints can be achieved across multiple iterations. The tool also has an analytics dashboard that allows the developers to monitor and visualize how the requirements and the associated safety and liveness constraints have been modified and updated across these iterations.
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RV-SLC:用于在DevOps环境中对目标模型的安全性和活动性约束进行回归验证的工具
在任何增量软件开发(包括DevOps)中,需求都在不断变化和更新。回归验证的概念确保了给定规则集(或属性)的遵从性,即使在需求集更改或相关规则本身由于新的业务策略和法规而更改时也是如此。在这篇工具论文中,我们提出了以SLC框架为核心的RV-SLC工具。该工具使用一个正式的数据模型来演示如何跨多个迭代实现安全性和活动性约束的回归验证。该工具还有一个分析仪表板,允许开发人员监视和可视化需求以及相关的安全性和活动性约束是如何在这些迭代中被修改和更新的。
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