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Study finds folder structure most impactful for code-to-architecture mapping

By PulseAugur Editorial · [1 sources] ·

A new study published on arXiv investigates which aspects of code representation are most effective for mapping source files to architectural modules. Researchers found that representations encoding dependency information generally outperform purely lexical ones. Incorporating folder-aware information yielded the most significant and consistent improvements across various graph neural network configurations, although a simple directory rule achieved high accuracy on its own. The study suggests that careful consideration of existing file representations and directory structures is crucial before attributing gains solely to graph neural networks. AI

IMPACT This research could inform the development of more efficient code analysis and understanding tools by highlighting the importance of structural and dependency information.

RANK_REASON The cluster contains an academic paper detailing a study on code-to-architecture mapping. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Study finds folder structure most impactful for code-to-architecture mapping

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The cluster contains an academic paper detailing a study on code-to-architecture mapping. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Rakhshanda Jabeen, Morgan Ericsson, Yuyao Duan, Anna Wingkvist ·

    What Carries Architectural Signal? A Code-to-Architecture Mapping Study

    arXiv:2610.41628v1 Announce Type: cross Abstract: Code-to-architecture mapping assigns source files to modules of a reference architecture. Representations of implementation artifacts can capture code text, dependencies, and directory organization, but predictive gains alone do n…

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