rajamesandClaude Opus 5.5
7aed588f78
docs/CLAUDE.md Phase 2, 2026-10-14. All moves by git mv; every archived file carries a header saying what it is, why, and where to look instead. - docs/reference/ (new): roadmap and versioning policy, M7.1, word-ACL design, kernel args, hosted acceptance test, dictionary, primitives, ontology, L8 table -- previously spread over docs/, docs/lithosananke/ and docs/03-architecture/. - docs/working/archive/historical/: finished work (session plan, test-gap audit, birthing plan, fix write-ups, the January architecture draft). - docs/working/archive/superseded/: the Hermes-VM Tripod docs and July Hermes designs (-> FABRIC-3.5/3.6), the StarForth roadmap, every working doc already flagged superseded or obsolete. - docs/working/archive/dead/: the hal_* target contract (never adopted), L4Re, metrics-and-knobs. - Papers and proposals into docs/working/papers/. - References rewritten across the repo (not logs/, not docs/patent/); CLAUDE.md's documentation section rewritten. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Experiments
This directory contains experimental designs, execution guides, and results for physics-based experiments on the StarForth VM.
Experiment Types
- factorial-doe/ - Factorial design of experiments for configuration analysis
- heartbeat-doe/ - Heartbeat subsystem performance experiments
- james-law/ - James Law window scaling validation experiments
- physics-optimization/ - Physics engine optimization experiments
Experiment Lifecycle
- Design - Define hypothesis, factors, response variables
- Protocol - Write execution guide (document methodology)
- Execute - Run experiments, collect data
- Analyze - Statistical analysis, validate results
- Document - Write summary, move to
06-research/if publishing
Key Results
Deterministic Behavior: StarForth achieves 0% algorithmic variance across 90 experimental runs, demonstrating formally proven deterministic behavior of the physics-driven adaptive runtime.
Design of Experiments Methodology
StarForth uses rigorous experimental methodology:
- Factorial designs for multi-factor analysis
- Heartbeat-driven data collection
- Statistical validation (ANOVA, Levene's test)
- Reproducible experimental protocols
See Also
- Design of Experiments schema:
../06-research/doe-metrics-schema.md - Results for publication:
../06-research/results-for-publication.md - Quality validation:
../04-quality/validation/