Arduino practice judgment system based on function execution log in virtual execution environment

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Kangbok Seo, Junhyung Kim, Woojin Lee
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引用次数: 0

Abstract

Recently, automatic judgment systems have been widely used in various computer science lectures, and these systems are mainly developed for languages with a console-based practice environment. On the other hand, embedded systems such as Arduino are executed in a hardware-based environment and their verification is conducted by manually checking the operation of the hardware. Therefore, it is not easy to automatically judge the Arduino system developed by students. In the embedded system, hardware and software have to be developed at the same time, and it increases effort and time for the instructors to teach students, especially in practice-based learning. The study in this article proposes an Arduino practice judgment system based on the function execution log in virtual execution environment. It performs both Fritzing-based hardware configuration checking and source code testing based on virtual execution environment, where hardware operations are replaced by mock-up functions. In addition, more diverse practices are possible by providing an experimental environment where students can freely enter input data and check the results. A case study shows that the developed system can be applied to the lectures and help reduce instructors' work and increase students' understanding through the system.

Abstract Image

基于虚拟执行环境中功能执行日志的 Arduino 实践判断系统
最近,自动判断系统被广泛应用于各种计算机科学讲座,这些系统主要是针对基于控制台的练习环境的语言开发的。另一方面,Arduino 等嵌入式系统是在基于硬件的环境中执行的,其验证是通过手动检查硬件的运行情况来进行的。因此,要自动判断学生开发的 Arduino 系统并不容易。在嵌入式系统中,硬件和软件必须同时开发,这增加了教师教导学生的精力和时间,尤其是在基于实践的学习中。本文的研究提出了一种基于虚拟执行环境中函数执行日志的 Arduino 实践判断系统。它既能执行基于 Fritzing 的硬件配置检查,也能执行基于虚拟执行环境的源代码测试,其中硬件操作由模拟函数代替。此外,通过提供实验环境,学生可以自由输入输入数据并检查结果,从而实现更多样化的实践。一项案例研究表明,所开发的系统可应用于授课,有助于减少教师的工作量,并通过系统提高学生的理解能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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