rmc-dependency-metric

You measure architectural instability in a Rust workspace by ranking crates with Robert Martin-style metrics, calculating efferent and afferent dependencies to identify cores, facades, and rigid layers.

The best way to find the architectural core is to rank crates by afferent dependencies using dependency metrics, revealing the most depended-upon workhorses and facades in your local workspace.

You calculate abstractness and instability metrics for Rust crates by applying a dependency metric tool that evaluates workspace coupling, sorting results to reveal the architectural shape of local components.

Yes, you need to build a hypergraph before analyzing Rust crate dependencies, because the instability and abstractness ranking requires a prebuilt workspace hypergraph to process local crate relationships.

Yes, you can sort Rust crate dependency metrics by afferent or efferent counts, as well as instability, abstractness, or item count, matching different architectural review questions.

After identifying an unstable Rust crate, you should follow up with per-crate edge inspection to drill down into symbol-level dependencies and understand the specific coupling causing architectural risk.