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DevOps workflow verification and duration prediction using non-Markovian stochastic Petri nets

机译:Devops工作流程验证和使用非Markovian随机Petri网的持续时间预测

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In this paper, we provide a non-Markovian Stochastic Petri Net (SPN) model forDevOps workflow specification, and we determine how business processes are carriedout. After describing our model semantics, we show how general properties relatedto liveness and safety can be checked. After that, we provide several extensions onSPNs (SPN) the notation and expressivity to check some specific properties related toactors' (Developers and Operators) availability, interactions between the actors, andexecution failures detection linked to the DevOps steps. Next, we validate the proposedmodel relevance with MATLAB simulation through a specific DevOps casestudy. Finally, we propose a truncated density function to anticipate the delaysrelated to the DevOps business process overall steps.
机译:在本文中,我们提供了一个非马尔可夫随机Petri网(SPN)模型Devops工作流程规范,我们确定业务流程是如何携带的出去。在描述我们的模型语义后,我们展示了普通属性相关的可以检查活力和安全性。之后,我们提供了几个扩展SPNS(SPN)符号和表达性,以检查与之相关的一些特定属性演员'(开发人员和运营商)可用性,演员之间的相互作用,以及执行失败检测链接到Devops步骤。接下来,我们验证提出的通过特定Devops案例与MATLAB模拟的模型相关性学习。最后,我们提出了一个截断的密度函数来预测延误与Devops业务流程相关的总体步骤。

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