自动化生产系统的可追溯性:立场文件

Mounifah Alenazi, Nan Niu, Wentao Wang, Arushi Gupta
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引用次数: 8

摘要

自动化生产系统是按订单设计、定制的机电一体化系统,旨在提供自动化功能,以满足制造/生产领域的利益相关者的需求。可追溯性在需求工程(RE)中有其研究根源,并被定义为“描述和跟踪需求生命周期的能力”。这样的描述和以下内容主要局限于单个软件项目的过程和工件。我们认为,在自动化生产系统的背景下,可追溯性的范围应该超越软件工程的边界,进入软件运行的环境。我们在这篇立场文件中概述了我们的目标,即定义一种新的跟踪链接形式,并探索这些链接在自动化生产系统的RE中的作用。特别是,我们采用了一个正式的面向交互的可再生能源框架,该框架侧重于指定参与者的承诺,而不是每个参与者的目标。然后,我们将模型检查集成到框架中,以详细说明何时、为什么以及应该使用多少可追溯性。我们用一个实验规模的自动化生产系统演示了我们的方法,其中采用了模型驱动的工程实践,例如构造和进化SysML模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traceability for Automated Production Systems: A Position Paper
Automated production systems are design-to-order, custom-built mechatronic systems that are intended to deliver automation capabilities to satisfy the stakeholder requirements in the manufacturing/production domain. Traceability has its research root in requirements engineering (RE) and is defined as "the ability to describe and follow the life of a requirement". Such descriptions and followings have mainly been scoped within a single software project's process and artifacts. We argue that, in the context of automated production systems, the scope of traceability shall go beyond the software engineering boundary into the environments which the software is operated. We outline in this position paper our aim to define a new form of the trace links and to explore the role of these links in the RE of automated production systems. In particular, we adapt a formal interaction-oriented RE framework that focuses on specifying the commitments of participants rather than the goals of each individual participant. We then integrate model checking into the framework to elaborate when, why, and how much traceability should be instrumented. We demonstrate our approach with a bench-scale automated production system where model-driven engineering practices such as constructing and evolving SysML models are adopted.
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