摘要:揭示和分析开源ArduPilot的架构模型

IF 0.5 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
S. Staroletov
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引用次数: 1

摘要

构建健壮的软件可以被认为是当前软件工程过程中的一个主要挑战。这项任务与网络物理系统(CPS)的代码特别相关,这些系统与环境的有形数据相互作用,并做出对现实世界有影响的决策。对这类软件系统的架构组织的良好实践的研究适合于对由大型爱好者社区开发的开源代码的解决方案进行研究。这样的代码有很长的历史,并且已经在真实环境中的真实设备上进行了多次测试。使用程序代码构建各种模型使我们能够理解稳定的架构解决方案,并以图形形式呈现它们;这些解决方案可以在STEM中心设计其他系统时使用,同时考虑到社区的所有成就。此外,还可以提出分析模型的方法来证明网络物理系统的各种特性。在本文中,我们分析了ArduPilot Mega (APM),一个arduino兼容的解决方案,用于构建DIY驾驶和飞行系统。该解决方案基于一个特殊设计的电路板,带有控制器和必要的外围设备,以及c++兼容方言的固件代码。由于存在与硬件相关的许多限制,因此建议执行所谓的协同建模,同时考虑硬件和软件方面。我们考虑对连接的引脚和数据传输总线上的设备的交互进行建模,软件部分以类图的形式提供解决方案。然后,我们描述了通过共享变量分析系统上运行的任务之间的交互以及评估任务调度器性能的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Work-in-Progress Abstract: Revealing and Analyzing Architectural Models in Open-source ArduPilot
Building robust software can be considered a major challenge in current software engineering processes. This task is especially relevant for the code of cyber-physical systems (CPS) that interact with tangible data of the environment and make decisions that have an impact on the real world. The study of good practices of the architectural organization of such software systems is suitable to conduct on solutions with open-source code, which are developed by large communities of enthusiasts. Such a code bears a long history and has been tested many times on real devices in a real-world environment. The construction of various models using the program code allows us to understand stable architectural solutions, to present them in a graphical form; these solutions can be used in STEM centers when designing other systems, taking into account all the achievements of the communities. In addition, it is possible to propose methods for analyzing models to prove various properties of cyber-physical systems. In this paper, we analyze ArduPilot Mega (APM), an Arduino-compatible solution for building DIY driving and flying systems. The solution is based on a specially designed board with a controller and necessary peripherals, as well as a firmware code in a C++ -compatible dialect. Since there are many limitations associated with hardware, it is advisable to carry out a so-called co-modeling, taking into account both hardware and software sides. We consider modeling the interaction of equipment on connected pins and data transmission buses, the software part in the form of a class diagram for the solution. We then describe methods for analyzing the interactions between tasks running on the system through shared variables and evaluating the performance of the task scheduler.
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来源期刊
CiteScore
1.70
自引率
14.30%
发文量
17
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