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Multi-Approach Debugging of Industrial IoT Workflows
arXiv - CS - Software Engineering Pub Date : 2020-09-12 , DOI: arxiv-2009.05828
Andreia Rodrigues, Jose Pedro Silva, Joao Pedro Dias, Hugo Sereno Ferreira

Industrial Internet-of-Things (IIoT) results from the addition of sensing and actuating capabilities to industrial environments to improve the overall manufacturing processes. Some of these systems have highly-complex tasks of monitorization and control and need to be programmed accordingly. The use of visual programming, such as workflows, is common in these systems due to the abstraction they provide to the systems programmer. However, such programming environments have several deficiencies on what regards debugging capabilities, mostly due to the constraints that difficult the use of traditional mechanisms. The work presented in this paper approaches these issues, delving into the design and implementation of a multi-strategy debugging mechanism into a commercial-grade Manufacturing Execution System. To validate the approach, a proof-of-concept was then developed and validated against different debugging scenarios.

中文翻译:

工业物联网工作流的多方法调试

工业物联网 (IIoT) 源于向工业环境添加传感和执行功能以改进整体制造流程。其中一些系统具有高度复杂的监测和控制任务,需要相应地进行编程。可视化编程(例如工作流)的使用在这些系统中很常见,因为它们为系统程序员提供了抽象。然而,这种编程环境在调试能力方面存在一些不足,主要是由于传统机制难以使用的限制。本文提出的工作解决了这些问题,深入研究了多策略调试机制的设计和实现到商业级制造执行系统中。为了验证该方法,
更新日期:2020-09-15
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