Rust中所有权类型的基础概念模型

IF 2.2 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Crichton, Will, Gray, Gavin, Krishnamurthi, Shriram
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引用次数: 0

摘要

学习Rust的程序员很难理解所有权类型,这是Rust在没有垃圾收集的情况下确保内存安全的核心机制。本文描述了我们系统设计所有权类型教学法的尝试。首先,我们研究了Rust开发人员对所有权的误解,以创建所有权清单,这是一种衡量个人所有权知识的新工具。我们发现Rust学习者不能连接Rust的静态和动态语义,比如确定为什么一个病态的程序会(或不会)表现出未定义的行为。其次,我们创建了一个Rust语义的概念模型,该模型根据进入内存的路径上的流敏感权限来解释借用检查。第三,我们实现了一个Rust编译器插件,它可以将模型下的程序可视化。第四,我们通过为流行的Rust教科书《Rust编程语言》编写新的所有权章节,将权限模型和可视化集成到更广泛的所有权教学法中。第五,我们利用读者对所有权清单的反应作为比较点,评估了我们的教学法与原始版本的初始部署。到目前为止,新的教学方法已经使学习者在“所有权清单”上的得分平均提高了9分
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Grounded Conceptual Model for Ownership Types in Rust
Programmers learning Rust struggle to understand ownership types, Rust’s core mechanism for ensuring memory safety without garbage collection. This paper describes our attempt to systematically design a pedagogy for ownership types. First, we studied Rust developers’ misconceptions of ownership to create the Ownership Inventory, a new instrument for measuring a person’s knowledge of ownership. We found that Rust learners could not connect Rust’s static and dynamic semantics, such as determining why an ill-typed program would (or would not) exhibit undefined behavior. Second, we created a conceptual model of Rust’s semantics that explains borrow checking in terms of flow-sensitive permissions on paths into memory. Third, we implemented a Rust compiler plugin that visualizes programs under the model. Fourth, we integrated the permissions model and visualizations into a broader pedagogy of ownership by writing a new ownership chapter for The Rust Programming Language , a popular Rust textbook. Fifth, we evaluated an initial deployment of our pedagogy against the original version, using reader responses to the Ownership Inventory as a point of comparison. Thus far, the new pedagogy has improved learner scores on the Ownership Inventory by an average of 9
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来源期刊
Proceedings of the ACM on Programming Languages
Proceedings of the ACM on Programming Languages Engineering-Safety, Risk, Reliability and Quality
CiteScore
5.20
自引率
22.20%
发文量
192
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