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Ownership guided C to Rust translation (2303.10515v1)

Published 18 Mar 2023 in cs.PL and cs.SE

Abstract: Dubbed a safer C, Rust is a modern programming language that combines memory safety and low-level control. This interesting combination has made Rust very popular among developers and there is a growing trend of migrating legacy codebases (very often in C) to Rust. In this paper, we present a C to Rust translation approach centred around static ownership analysis. We design a suite of analyses that infer ownership models of C pointers and automatically translate the pointers into safe Rust equivalents. The resulting tool, Crown, scales to real-world codebases (half a million lines of code in less than 10 seconds) and achieves a high conversion rate.

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Authors (4)
  1. Hanliang Zhang (4 papers)
  2. Cristina David (20 papers)
  3. Yijun Yu (31 papers)
  4. Meng Wang (1063 papers)
Citations (10)

Summary

The paper "Ownership guided C to Rust translation" addresses the increasing need to migrate legacy C codebases to Rust, a language known for offering both memory safety and fine-grained control. The authors introduce an approach that facilitates this migration process by focusing on static ownership analysis, a critical aspect of Rust's memory management system.

Key Contributions

  1. Static Ownership Analysis:
    • The core of the methodology involves designing analyses that can accurately infer ownership models for pointers used in C programs. Instead of manual translation, these models guide the conversion of C pointers into their Rust equivalents, which enforce strict ownership and borrowing rules.
  2. Tool Development - Crown:
    • The paper introduces "Crown," a tool developed to implement their approach. Crown automates the translation process and is evaluated on its ability to handle real-world codebases efficiently. The tool demonstrates impressive scalability, capable of processing codebases with up to half a million lines of code in less than ten seconds.
  3. High Conversion Rate:
    • Crown achieves a high conversion rate, meaning that it successfully translates a significant portion of C code into idiomatic and safe Rust code. This is crucial for developers looking to modernize their software while minimizing the introduction of new bugs due to manual rewriting.

Implications

  • Enhanced Safety and Performance:
    • By transitioning from C to Rust using this automated approach, existing codebases can benefit from Rust’s safety features, such as its ownership model, which eliminates common issues like null pointer dereferencing and data races.
  • Developer Efficiency:
    • The approach significantly reduces the manual effort and expertise required in converting C code to Rust, allowing developers to focus on other critical aspects of software maintenance and development.

Evaluation

The paper shows that the translation tool not only scales effectively but also maintains the semantic correctness of the original C programs. This balance of performance, safety, and practical applicability is a promising step forward in encouraging more widespread adoption of Rust for legacy system upgrades.

Overall, the work presents a substantial contribution to the field of programming languages and software engineering by facilitating the adoption of safer programming practices in systems programming.