SyRust:自动测试带有语义感知程序合成的Rust库

Yoshiki Takashima, R. Martins, Limin Jia, C. Pasareanu
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引用次数: 7

摘要

Rust的类型系统保证了Rust程序的安全性;然而,程序员可以通过使用不安全关键字来避开一些严格的类型规则。不安全Rust的常见用法是库。这些库中的bug破坏了整个Rust程序的安全性。因此,彻底测试库api以排除错误至关重要。不幸的是,这样的测试依赖于程序员手动构建测试用例,这是一个低效和无效的过程。本文的目标是开发一种自动生成Rust程序的方法,以有效地测试Rust库api。主要的挑战是综合类型良好的Rust程序,以解释API调用的正确链接以及Rust的所有权类型系统和多态类型。我们开发了一种用于Rust库API测试的程序合成技术,该技术依赖于Rust所有权类型系统中类型约束的新颖逻辑编码。我们实现了SyRust,一个用于Rust库的测试框架,可以自动合成语义上有效的测试用例。我们在30个流行的开源Rust库上的实验发现了4个新的bug。
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SyRust: automatic testing of Rust libraries with semantic-aware program synthesis
Rust’s type system ensures the safety of Rust programs; however, programmers can side-step some of the strict typing rules by using the unsafe keyword. A common use of unsafe Rust is by libraries. Bugs in these libraries undermine the safety of the entire Rust program. Therefore, it is crucial to thoroughly test library APIs to rule out bugs. Unfortunately, such testing relies on programmers to manually construct test cases, which is an inefficient and ineffective process. The goal of this paper is to develop a methodology for automatically generating Rust programs to effectively test Rust library APIs. The main challenge is to synthesize well-typed Rust programs to account for proper chaining of API calls and Rust’s ownership type system and polymorphic types. We develop a program synthesis technique for Rust library API testing, which relies on a novel logical encoding of typing constraints from Rust’s ownership type system. We implement SyRust, a testing framework for Rust libraries that automatically synthesizes semantically valid test cases. Our experiments on 30 popular open-source Rust libraries found 4 new bugs.
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