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Test Strategy

A useful test strategy names what evidence is needed and why shallow coverage is not enough.

For bijux-proteomics-foundation, the test story should show how shared meaning survives schema edits, serialization pressure, and package migration instead of treating those concerns as unrelated checks.

Strategy Model

flowchart TB
    meaning["shared type or schema meaning"]
    schema["schema fixtures and contract tests"]
    migration["migration and serialization proof"]
    downstream["cross-package compatibility examples"]
    release["release confidence"]

    meaning --> schema
    schema --> migration
    migration --> downstream
    downstream --> release

The important thing here is stacking evidence from local correctness to downstream compatibility. If the strategy stops at unit-level proof, the package has not actually defended its shared role.

Review Rules

  • favor schema, serialization, and migration tests over generic breadth
  • use fixtures that represent real downstream compatibility pressure
  • treat cross-package examples as quality proof, not just docs ornament

First Proof Check

  • packages/bijux-proteomics-foundation/tests
  • src/bijux_proteomics_foundation/schema.py and migrations.py
  • src/bijux_proteomics_foundation/serialization.py

Design Pressure

The easy failure is broad green coverage that never proves whether consuming packages can still interpret the edited shared meaning the same way.