Mostly Automatic Translation of Language Interpreters from C to Safe Rust
Summary
Reboot is a mostly-automatic technique designed to translate real-world C language interpreter programs into safe Rust. The system successfully translated six interpreters, ranging from 6k to 23k lines of C code, requiring only 1 to 11 brief user interventions per program. All translations achieved 100% pass rates on provided test suites and 62%–92% on separately created validation tests. A security study on mujs demonstrated that memory vulnerabilities like heap buffer overflows and use-after-free were eliminated. The process took 28 to 90 hours and cost \$460 to \$1,780 per program, with most translated programs showing median slowdowns of ~1.28x–1.51x compared to original C. Reboot's core ideas are "feature reduction," which decomposes translation into validated milestones, and a "multi-agent architecture" that orchestrates unreliable coding agents through automated validation and feedback.
Key takeaway
For software engineers or MLOps teams considering migrating security-critical C interpreters to Rust, Reboot offers a viable, mostly-automated solution. Its approach significantly enhances memory safety by eliminating common vulnerabilities, as demonstrated with mujs, while maintaining competitive performance. You should evaluate Reboot's feature reduction and multi-agent orchestration for your C projects, especially those handling untrusted inputs, to reduce manual effort and improve security posture.
Key insights
Reboot automates C interpreter translation to safe Rust using feature reduction and multi-agent orchestration, enhancing security and performance.
Principles
- Decompose complex translation by program features.
- Orchestrate unreliable agents with automated validation and feedback.
- Iterative, validated milestones improve translation correctness.
Method
Reboot employs a three-phase process: Planning (feature identification), Feature Reduction (simplifying C code to validated milestones), and Translation (incrementally restoring features to Rust with multi-agent validation).
In practice
- Apply feature reduction for large, cross-cutting codebases.
- Implement multi-agent systems with FSM guards for reliability.
- Utilize comprehensive test suites for translation validation.
Topics
- C to Rust Translation
- Language Interpreters
- Memory Safety
- Multi-Agent Systems
- Automated Code Migration
- Feature Reduction
Code references
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Editorial summary, takeaway, and curation by AIssential. Original article published by cs.SE updates on arXiv.org.