Continuous Development, Maintenance, and Evolution of Cyber-Physical Systems

信息物理系统的持续开发、维护和演进

• 批准号: RGPIN-2018-06629
• 负责人: Kontogiannis, Konstantinos
• 金额: $ 2.48万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=685200
• 关键词: Continuous; Development; Maintenance; Evolution; Cyber

Cyber-Physical systems (CPSs) refer to systems consisting of software and physical components that monitor, control, and coordinate other electro-mechanical units, software, and aspects of the physical world. CPSs encompass a wide range of mission-critical applications that include smart electrical grids, city-wide traffic control, autonomous cars, smart homes, smart farming, the intelligent management of the food supply chain, factory automation systems, and applications that support cost effective health care delivery. Several think tanks expect future CPS applications to be more transformative than the IT revolution of the past three decades. ******However, these systems pose a set of new challenges related to their modeling, development, deployment and evolution processes. This is not only due to the heavy interactions CPSs software components and devices entail with the physical world, but also due to the practical challenges related to frequent adapt-reuse operations, the need for short release cycles to introduce new features to many users in many platforms with varying requirements, and the need of managing deployment risk in a scale and complexity we have not seen before. Even though the research community has started investigating a number of research areas to address the engineering of CPSs, there is very limited work to date on Development and Operations (DevOps) frameworks to support the continuous development, maintenance, and evolution of such systems. ******The specific research questions to be addressed in this project are a) how to model and denote dependencies in CPSs (i.e. dependencies between hardware devices, software components, data sources, system stakeholders, third party systems), b) what analytics are required to assist system engineers understand the system's health, identify the system's hot spots, perform root cause analysis, and assess failure risks during maintenance and evolution, and c) devise gated DevOps pipelines to automate build, testing, delivery, deployment, and maintenance processes.

网络物理系统（CPS）是指由软件和物理组件组成的系统，用于监视，控制和协调其他机电单元，软件和物理世界的各个方面。CPS涵盖广泛的关键任务应用，包括智能电网、城市范围的交通控制、自动汽车、智能家居、智能农业、食品供应链的智能管理、工厂自动化系统以及支持经济高效的医疗保健服务的应用。一些智库预计，未来的CPS应用将比过去三十年的IT革命更具变革性。** 然而，这些系统提出了一系列与其建模、开发、部署和演进过程相关的新挑战。这不仅是由于CPS软件组件和设备与物理世界的大量交互，而且还由于与频繁的适配重用操作相关的实际挑战，需要在短发布周期内向具有不同要求的许多平台中的许多用户引入新功能，以及需要以我们以前从未见过的规模和复杂性管理部署风险。尽管研究界已经开始调查许多研究领域来解决CPS的工程问题，但迄今为止，在开发和运营（DevOps）框架方面的工作非常有限，以支持此类系统的持续开发，维护和演变。** 在这个项目中要解决的具体研究问题是a）如何在CPS中建模和表示依赖关系（即硬件设备、软件组件、数据源、系统利益相关者、第三方系统之间的依赖性），B）需要什么分析来帮助系统工程师了解系统的健康状况，识别系统的热点，执行根本原因分析，并评估维护和演进期间的故障风险，以及c）设计门控DevOps管道以自动化构建，测试，交付，部署和维护流程。