<!-- Moved from docs/06-research/README.md to docs/working/archive/research/README.md on 2026-06-16 (docs reorg Phase 2) -->
# Research

This directory contains academic research, publication materials, grant proposals, and scholarly documentation for StarForth.

## Contents

- **doe-metrics-schema.md** - Design of Experiments metrics schema
- **literature-review.md** - Related work and citations
- **research-outline.md** - Research roadmap and objectives
- **results-for-publication.md** - Publication-ready experimental results

## Key Research Contributions

### 1. Physics-Grounded Self-Adaptive Runtime
StarForth demonstrates a novel approach to VM optimization:
- Execution heat model based on thermodynamic metaphor
- Rolling window of truth for deterministic metric seeding
- Inference engine for adaptive parameter tuning

### 2. Formally Proven Deterministic Behavior
**0% algorithmic variance** across 90 experimental runs:
- Deterministic heat decay (Loop #3)
- Deterministic window width inference (Loop #5)
- Deterministic pipelining metrics (Loop #4)
- Reproducible across platforms

### 3. Design of Experiments Methodology
Rigorous experimental approach:
- Factorial DoE for multi-factor analysis
- Statistical validation (ANOVA, Levene's test)
- Heartbeat-driven data collection
- Reproducible protocols

## Publications

### Peer Review Materials
Comprehensive peer review submission package available in:
`../archive/phase-1/Reference/physics_experiment/PEER_REVIEW_SUBMISSION/`

**Includes:**
- Main paper draft
- Formal verification interpretation
- Variance analysis summary
- Supplementary materials

### Grant Proposals
- **DARPA SSM Proposal:** `../DARPA_SSM_Proposal_James.pdf`
- **Provisional Patent Application:** Filed [date]

## Publication Process

1. **Conduct Experiments**
   - Design: `../02-experiments/`
   - Execute: Run DoE mode
   - Validate: `../04-quality/validation/`

2. **Document Findings**
   - Results: `results-for-publication.md`
   - Analysis: DoE analysis scripts
   - Metrics: `doe-metrics-schema.md`

3. **Prepare Submission**
   - Draft paper using templates
   - Generate figures and tables
   - Format for target venue

4. **Review & Submit**
   - Internal review
   - Submit to conference/journal
   - Respond to reviewers

## References & Citations

### External References
- **prog-prove.pdf** - Formal verification methodologies
- **SYSTEM_NARRATIVE.pdf** - System architecture narrative

### Related Work
See `literature-review.md` for comprehensive list of related research in:
- Adaptive virtual machines
- JIT compilation
- Thermodynamic computing models
- Self-optimizing systems

## For Researchers

**Citing StarForth:**
```
James, R. (2025). StarForth: A Physics-Grounded Self-Adaptive FORTH-79 VM
with Formally Proven Deterministic Behavior. [Venue TBD]
```

**Experimental Reproducibility:**
All experiments are reproducible:
```bash
make fastest
./build/amd64/fastest/starforth --doe
```

Results should show 0% algorithmic variance.

## Contact

For research collaboration or questions:
- Project repository: [GitHub URL after migration]
- Principal investigator: [Contact info]