English(EN) Identifying Latent Declarative Representations of Code for Assisting Repository Migration

新的LLM方法通过声明式表示辅助遗留代码迁移

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-26 04:00

研究人员开发了一种新方法ADFD-Migrate，通过近似代码的潜在声明式表示来辅助遗留软件存储库的迁移。该方法使用LLM从存储库上下文中推断出带注释的数据流图（ADFD），然后指导目标语言代码的生成。在对50个Fortran存储库的基准测试中，ADFD-Migrate在行为一致性方面表现出高精度，并且与直接翻译方法相比，显著改善了迁移结果。 AI

影响该方法可以简化遗留系统的现代化改造，使其更能适应当前开发实践，并可能降低维护成本。

排序理由该集群包含一篇详细介绍软件工程新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

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Newsworthiness bucket: Tool; 该集群包含一篇详细介绍软件工程新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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arXiv cs.AI TIER_1 English(EN) · Shraddha Surana, Ashwin Srinivasan, Michael Bain · 2026-08-26 04:00

识别代码的潜在声明式表示以辅助代码库迁移

arXiv:2608.23619v1 Announce Type: cross Abstract: Legacy software repositories embed decades of domain knowledge in undocumented code, making understanding and modernization difficult. We treat a program as the implementation of an unobserved, declarative description of its compu…

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识别代码的潜在声明式表示以辅助代码库迁移

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