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New LLM approach aids legacy code migration with declarative representations

Researchers have developed a new method, ADFD-Migrate, to assist in the migration of legacy software repositories by approximating the latent declarative representation of code. This approach uses an LLM to infer an annotated data-flow diagram (ADFD) from repository context, which then guides the generation of code in a target language. When tested on a benchmark of 50 Fortran repositories, ADFD-Migrate demonstrated high accuracy in behavioral agreement with the original code and significantly improved migration outcomes compared to direct translation methods. AI

IMPACT This method could streamline the modernization of legacy systems, making them more adaptable to current development practices and potentially reducing maintenance costs.

RANK_REASON The cluster contains an academic paper detailing a new methodology for software engineering. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

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New LLM approach aids legacy code migration with declarative representations

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The cluster contains an academic paper detailing a new methodology for software engineering. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Shraddha Surana, Ashwin Srinivasan, Michael Bain ·

    Identifying Latent Declarative Representations of Code for Assisting Repository Migration

    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…