Liveness-Driven Random Program Generation
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| Publié dans: | arXiv.org (Sep 13, 2017), p. n/a |
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Cornell University Library, arXiv.org
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| Accès en ligne: | Citation/Abstract Full text outside of ProQuest |
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| Résumé: | 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. |
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| ISSN: | 2331-8422 |
| Source: | Engineering Database |