Methodology
Asterel’s current methodology is engineering-first: define a falsifiable runtime property, attach it to code boundaries, then guard it with deterministic tests or fixtures. Paper-level work will add external benchmarks and human evaluation on top of this base.
Claim-to-evidence loop
Section titled “Claim-to-evidence loop”- State the runtime property. Example: public channels must not quote private memory.
- Identify the owner. Example: grounding exposure projection and response contract verification, not individual channel handlers.
- Add a regression. The test should fail if the property is bypassed.
- Add a release gate when the property is product-critical. Examples include project policy tests, replay fixtures, and architecture checks.
- Record only public-safe evidence. Commands, fixture names, aggregate counts, and source paths are publishable; raw user messages and private memory are not.
Evidence classes
Section titled “Evidence classes”| Class | Use | Examples |
|---|---|---|
| Boundary tests | Prove ownership and dependency direction do not drift. | tests/project/module_boundaries.rs, architecture scripts |
| Contract tests | Prove multiple surfaces preserve the same turn semantics. | tests/runtime/companion_turn_contract.rs |
| Governance tests | Prove memory/tool/security state changes are scoped and auditable. | tests/memory/*, tests/runtime/security_guarantees.rs |
| Fixture evals | Prove deterministic quality gates catch known bad output shapes. | tests/fixtures/replay/discord_companion_bad_turns.jsonl |
| Build metadata checks | Prove release packaging and docs remain coherent. | cargo metadata, docs build, Docker/Pages checks |
Current limitations
Section titled “Current limitations”The current packet is not a complete experimental study. Missing paper-level components include:
- external benchmark runs such as LongMemEval-style memory evaluation;
- ablations for memory, GraphRAG, affect topology, exposure projection, and naturalness verification;
- provider/model sensitivity analysis;
- consented human ratings with inter-rater agreement;
- confidence intervals and failure taxonomies;
- a frozen artifact bundle with fixture hashes and exact commit ID.
These are research tasks, not public-release blockers for the repository itself.