Capturing Types

IF 1.5 2区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Programming Languages and Systems Pub Date : 2023-09-13 DOI:10.1145/3618003
Aleksander Boruch-Gruszecki, Martin Odersky, Edward Lee, Ondřej Lhoták, Jonathan Brachthäuser
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Abstract

Type systems usually characterize the shape of values but not their free variables. However, many desirable safety properties could be guaranteed if one knew the free variables captured by values. We describe \(\textsf {CC}_{\lt :\Box }~ \) , a calculus where such captured variables are succinctly represented in types, and show it can be used to safely implement effects and effect polymorphism via scoped capabilities. We discuss how the decision to track captured variables guides key aspects of the calculus, and show that \(\textsf {CC}_{\lt :\Box }~ \) admits simple and intuitive types for common data structures and their typical usage patterns. We demonstrate how these ideas can be used to guide the implementation of capture checking in a practical programming language.
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捕捉类型
类型系统通常描述值的形状,而不是它们的自由变量。然而,如果知道由值捕获的自由变量,则可以保证许多理想的安全属性。我们描述了\(\textsf {CC}_{\lt :\Box }~ \),这是一种演算,其中捕获的变量被简洁地表示为类型,并展示了它可以通过作用域功能安全地实现效果和效果多态性。我们将讨论跟踪捕获变量的决策如何指导演算的关键方面,并说明\(\textsf {CC}_{\lt :\Box }~ \)允许常见数据结构的简单直观类型及其典型使用模式。我们将演示如何使用这些思想在实用的编程语言中指导捕获检查的实现。
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来源期刊
ACM Transactions on Programming Languages and Systems
ACM Transactions on Programming Languages and Systems 工程技术-计算机:软件工程
CiteScore
3.10
自引率
7.70%
发文量
28
审稿时长
>12 weeks
期刊介绍: ACM Transactions on Programming Languages and Systems (TOPLAS) is the premier journal for reporting recent research advances in the areas of programming languages, and systems to assist the task of programming. Papers can be either theoretical or experimental in style, but in either case, they must contain innovative and novel content that advances the state of the art of programming languages and systems. We also invite strictly experimental papers that compare existing approaches, as well as tutorial and survey papers. The scope of TOPLAS includes, but is not limited to, the following subjects: language design for sequential and parallel programming programming language implementation programming language semantics compilers and interpreters runtime systems for program execution storage allocation and garbage collection languages and methods for writing program specifications languages and methods for secure and reliable programs testing and verification of programs
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