The systems engineering of some systems often involves challenging modelling activity (MA). MA presents challenges, which include understanding the context in which it takes place, understanding and managing its impacts on the life cycles of the models it produces. In this paper, we propose a methodology and its underpinning framework for addressing these challenges and for coping with the operation of MA. The first step in our methodology is to characterize MA as a federation of systems. It then consists in iteratively building a system architecture by modelling the models produced by MA and their expected life cycles, modelling the various tasks that constitute MA, and modelling the effects of MA on these life cycles. It then makes it possible to specify expectations over these life cycles and to analyse models of MA in relation to expectations, to check how far expectations are achievable and to synthesize the acceptable behaviours of the system. Finally, a use of the results of this analysis may provide insightful data on how the system is end-to-end operated and how it might behave. On the basis of this information, informed decisions may be made to act on the logistics of MA. The hypotheses, theoretical foundations, the models, the algorithms and perspectives relating to the proposed methodology and its underpinning framework are all presented and discussed.

中文翻译：

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处理工程系统建模活动的原则

某些系统的系统工程通常涉及具有挑战性的建模活动 (MA)。MA 提出了挑战，其中包括理解其发生的背景、理解和管理其对其生成的模型的生命周期的影响。在本文中，我们提出了一种方法及其基础框架，以应对这些挑战并应对 MA 的运作。我们方法的第一步是将 MA 描述为系统的联合。然后，它包括通过对 MA 生成的模型及其预期生命周期进行建模、对构成 MA 的各种任务进行建模以及对 MA 对这些生命周期的影响进行建模来迭代地构建系统架构。然后可以指定对这些生命周期的期望并分析与期望相关的 MA 模型，检查可实现的期望值并综合系统可接受的行为。最后，使用此分析的结果可以提供有关系统端到端操作方式及其行为方式的深刻数据。在此信息的基础上，可以做出明智的决定以对 MA 的后勤采取行动。提出并讨论了与所提出的方法及其基础框架相关的假设、理论基础、模型、算法和观点。可以做出明智的决定以对 MA 的后勤采取行动。提出并讨论了与所提出的方法及其基础框架相关的假设、理论基础、模型、算法和观点。可以做出明智的决定以对 MA 的后勤采取行动。提出并讨论了与所提出的方法及其基础框架相关的假设、理论基础、模型、算法和观点。