Liveness-Driven Random Program Generation

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Bibliografske podrobnosti
izdano v:arXiv.org (Sep 13, 2017), p. n/a
Glavni avtor: Barany, Gergö
Izdano:
Cornell University Library, arXiv.org
Teme:
Online dostop:Citation/Abstract
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Opis
Resumen:Randomly generated programs are popular for testing compilers and program analysis tools, with hundreds of bugs in real-world C compilers found by random testing. However, existing random program generators may generate large amounts of dead code (computations whose result is never used). This leaves relatively little code to exercise a target compiler's more complex optimizations. To address this shortcoming, we introduce liveness-driven random program generation. In this approach the random program is constructed bottom-up, guided by a simultaneous structural data-flow analysis to ensure that the generator never generates dead code. The algorithm is implemented as a plugin for the Frama-C framework. We evaluate it in comparison to Csmith, the standard random C program generator. Our tool generates programs that compile to more machine code with a more complex instruction mix.
ISSN:2331-8422
Fuente:Engineering Database