Azalea Raad

h-index17
2papers

2 Papers

26.5PLApr 9
Soteria: Efficient Symbolic Execution as a Functional Library

Sacha-Élie Ayoun, Opale Sjöstedt, Azalea Raad

Symbolic execution (SE) tools often rely on intermediate languages (ILs) to support multiple programming languages, promising reusability and efficiency. In practice, this approach introduces trade-offs between performance, accuracy, and language feature support. We argue that building SE engines \emph{directly} for each source language is both simpler and more effective. We present Soteria, a lightweight OCaml library for writing SE engines in a functional style, without compromising on performance, accuracy or feature support. Soteria enables developers to construct SE engines that operate directly over source-language semantics, offering \emph{configurability}, compositional reasoning, and ease of implementation. Using Soteria, we develop Soteria$^{\text{Rust}}$, the \emph{first} Rust SE engine supporting Tree Borrows (the intricate aliasing model of Rust), and Soteria$^{\text{C}}$, a compositional SE engine for C. Both tools are competitive with or outperform state-of-the-art tools such as Kani, Pulse, CBMC and Gillian-C in performance and the number of bugs detected. We formalise the theoretical foundations of Soteria and prove its soundness, demonstrating that sound, efficient, accurate, and expressive SE can be achieved without the compromises of ILs.

PLSep 5, 2025Code
Non-Termination Proving: 100 Million LoC and Beyond

Julien Vanegue, Jules Villard, Peter O'Hearn et al.

We report on our tool, Pulse Infinite, that uses proof techniques to show non-termination (divergence) in large programs. Pulse Infinite works compositionally and under-approximately: the former supports scale, and the latter ensures soundness for proving divergence. Prior work focused on small benchmarks in the tens or hundreds of lines of code (LoC), and scale limits their practicality: a single company may have tens of millions, or even hundreds of millions of LoC or more. We report on applying Pulse Infinite to over a hundred million lines of open-source and proprietary software written in C, C++, and Hack, identifying over 30 previously unknown issues, establishing a new state of the art for detecting divergence in real-world codebases.