Adventure of a Lifetime: Extract Method Refactoring for Rust

IF 2.2 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING Proceedings of the ACM on Programming Languages Pub Date : 2023-10-16 DOI:10.1145/3622821
Sewen Thy, Andreea Costea, Kiran Gopinathan, Ilya Sergey
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Abstract

We present a design and implementation of the automated "Extract Method" refactoring for Rust programs. Even though Extract Method is one of the most well-studied and widely used in practice automated refactorings, featured in all major IDEs for all popular programming languages, implementing it soundly for Rust is surprisingly non-trivial due to the restrictions of the Rust's ownership and lifetime-based type system. In this work, we provide a systematic decomposition of the Extract Method refactoring for Rust programs into a series of program transformations, each concerned with satisfying a particular aspect of Rust type safety, eventually producing a well-typed Rust program. Our key discovery is the formulation of Extract Method as a composition of naive function hoisting and a series of automated program repair procedures that progressively make the resulting program "more well-typed" by relying on the corresponding repair oracles. Those oracles include a novel static intra-procedural ownership analysis that infers correct sharing annotations for the extracted function's parameters, and the lifetime checker of rustc, Rust's reference compiler. We implemented our approach in a tool called REM---an automated Extract Method refactoring built on top of IntelliJ IDEA plugin for Rust. Our extensive evaluation on a corpus of changes in five popular Rust projects shows that REM (a) can extract a larger class of feature-rich code fragments into semantically correct functions than other existing refactoring tools, (b) can reproduce method extractions performed manually by human developers in the past, and (c) is efficient enough to be used in interactive development.
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一生的冒险:Rust的提取方法重构
我们提出了一个Rust程序自动“提取方法”重构的设计和实现。尽管Extract Method是在自动化重构实践中被研究得最充分、应用最广泛的方法之一,在所有流行编程语言的主要ide中都有它的特点,但由于Rust的所有权和基于生命周期的类型系统的限制,在Rust中实现它是非常重要的。在这项工作中,我们将Rust程序的提取方法重构系统地分解为一系列程序转换,每个转换都涉及满足Rust类型安全的特定方面,最终生成类型良好的Rust程序。我们的关键发现是Extract Method的公式,它是由原始函数提升和一系列自动程序修复程序组成的,这些程序通过依赖相应的修复预言器,逐步使生成的程序“类型更佳”。这些oracle包括一种新的静态过程内所有权分析,它可以为提取的函数参数推断正确的共享注释,以及Rust的参考编译器rustc的生命周期检查器。我们在一个叫做REM的工具中实现了我们的方法——一个基于IntelliJ IDEA Rust插件的自动提取方法重构工具。我们对五个流行的Rust项目的变更语料库进行了广泛的评估,结果表明REM (a)可以比其他现有的重构工具将更大的一类功能丰富的代码片段提取为语义正确的函数,(b)可以重现过去由人类开发人员手动执行的方法提取,(c)足够高效,可用于交互式开发。
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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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