107 lines
3.1 KiB
Markdown
107 lines
3.1 KiB
Markdown
<!-- Moved from docs/06-research/README.md to docs/working/archive/research/README.md on 2026-06-16 (docs reorg Phase 2) -->
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# Research
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This directory contains academic research, publication materials, grant proposals, and scholarly documentation for StarForth.
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## Contents
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- **doe-metrics-schema.md** - Design of Experiments metrics schema
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- **literature-review.md** - Related work and citations
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- **research-outline.md** - Research roadmap and objectives
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- **results-for-publication.md** - Publication-ready experimental results
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## Key Research Contributions
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### 1. Physics-Grounded Self-Adaptive Runtime
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StarForth demonstrates a novel approach to VM optimization:
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- Execution heat model based on thermodynamic metaphor
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- Rolling window of truth for deterministic metric seeding
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- Inference engine for adaptive parameter tuning
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### 2. Formally Proven Deterministic Behavior
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**0% algorithmic variance** across 90 experimental runs:
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- Deterministic heat decay (Loop #3)
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- Deterministic window width inference (Loop #5)
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- Deterministic pipelining metrics (Loop #4)
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- Reproducible across platforms
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### 3. Design of Experiments Methodology
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Rigorous experimental approach:
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- Factorial DoE for multi-factor analysis
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- Statistical validation (ANOVA, Levene's test)
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- Heartbeat-driven data collection
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- Reproducible protocols
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## Publications
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### Peer Review Materials
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Comprehensive peer review submission package available in:
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`../archive/phase-1/Reference/physics_experiment/PEER_REVIEW_SUBMISSION/`
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**Includes:**
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- Main paper draft
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- Formal verification interpretation
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- Variance analysis summary
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- Supplementary materials
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### Grant Proposals
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- **DARPA SSM Proposal:** `../DARPA_SSM_Proposal_James.pdf`
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- **Provisional Patent Application:** Filed [date]
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## Publication Process
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1. **Conduct Experiments**
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- Design: `../02-experiments/`
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- Execute: Run DoE mode
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- Validate: `../04-quality/validation/`
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2. **Document Findings**
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- Results: `results-for-publication.md`
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- Analysis: DoE analysis scripts
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- Metrics: `doe-metrics-schema.md`
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3. **Prepare Submission**
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- Draft paper using templates
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- Generate figures and tables
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- Format for target venue
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4. **Review & Submit**
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- Internal review
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- Submit to conference/journal
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- Respond to reviewers
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## References & Citations
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### External References
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- **prog-prove.pdf** - Formal verification methodologies
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- **SYSTEM_NARRATIVE.pdf** - System architecture narrative
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### Related Work
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See `literature-review.md` for comprehensive list of related research in:
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- Adaptive virtual machines
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- JIT compilation
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- Thermodynamic computing models
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- Self-optimizing systems
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## For Researchers
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**Citing StarForth:**
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```
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James, R. (2025). StarForth: A Physics-Grounded Self-Adaptive FORTH-79 VM
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with Formally Proven Deterministic Behavior. [Venue TBD]
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```
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**Experimental Reproducibility:**
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All experiments are reproducible:
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```bash
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make fastest
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./build/amd64/fastest/starforth --doe
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```
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Results should show 0% algorithmic variance.
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## Contact
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For research collaboration or questions:
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- Project repository: [GitHub URL after migration]
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- Principal investigator: [Contact info] |