RepoSummary and Feature-Level Traceability

Repository summaries become more useful when they are grounded in functional features rather than directory structure alone.

Type: Article
Audience: Technical writers, developer docs teams, documentation engineers
Theme: feature-level docs, repository understanding, traceability

Why this matters

A persistent question in automated documentation is not just how to generate summaries, but what those summaries should be grounded in.

This paper argues that many repository overviews fail because they summarize according to the directory tree, even though that is rarely how developers or writers actually understand a system.

What changes

The paper treats functional features as first-class documentation units.

Features are identified by clustering related methods and files, then summarized while preserving explicit links back to the code that implements them. Documentation is organized around those features rather than around folders.

That makes traceability central. Documentation claims are not judged by fluency or completeness alone, but by whether they can be followed back to concrete code elements. The paper reports improvements both in feature coverage and in file-level traceability recall relative to a strong baseline.

Implications for technical writing

For technical writers working on SDKs, APIs, and platform documentation, this matters because feature-level docs are often where users orient themselves and where drift is hardest to detect.

A traceable feature-oriented baseline gives writers something more stable to build on than a stale README or a directory summary that does not reflect the actual product surface. It also aligns better with how users think: by capability, workflow, and problem domain rather than by folder layout.

The paper does not replace human authorship. It suggests a stronger substrate for it.

Source

• RepoSummary: Feature-Oriented Summarization and Documentation Generation for Code Repositories