March 18, 2024, 4:42 a.m. | Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush

cs.LG updates on arXiv.org arxiv.org

arXiv:2309.14396v2 Announce Type: replace-cross
Abstract: Maintaining legacy software requires many software and systems engineering hours. Assembly code programs, which demand low-level control over the computer machine state and have no variable names, are particularly difficult for humans to analyze. Existing conventional program translators guarantee correctness, but are hand-engineered for the source and target programming languages in question. Learned transpilation, i.e. automatic translation of code, offers an alternative to manual re-writing and engineering efforts. Automated symbolic program translation approaches guarantee correctness …

abstract analyze arxiv assembly code computer control cs.lg cs.pl cs.se demand engineering humans language language model low machine software state systems type

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