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Standards-Guided and Dependency-Aware Code-Level Documentation Generation

Tingxu Han, Wei Song, Ziming Li, Yuchen Chen, Weisong Sun, Zhenpeng Chen, Chunrong Fang, Zhenyu Chen · 2026 · arXiv

DOI: 10.48550/arXiv.2610.27634 · open-access PDF

Russian

Автоматическое генерирование высококачественной документации для программных репозиториев остается сложной задачей: существующие подходы в значительной степени рассматривают документацию как неограниченное текстовое генерирование, отсутствие явных спецификаций качества, в значительной степени зависящие от долгосрочных просьб в отношении сырого кода, и предлагающие ограниченную поддержку для воспроизводимой оценки.

Machine translation (Meta M2M100); the English original follows.

Abstract

Automatically generating high-quality documentation for software repositories remains challenging: existing approaches largely treat documentation as unconstrained text generation, lacking explicit quality specifications, depending heavily on long-context prompts over raw code, and offering limited support for reproducible evaluation. We argue that code-level documentation generation should instead be a standards-guided software engineering task, in which documentation is generated and assessed against explicit, reusable quality requirements derived from authoritative standards. We define code

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