A Framework That Measures Itself: Early Results from the Software Manufacturing Doctrine

A Framework That Measures Itself: Early Results from the Software Manufacturing Doctrine

A Framework That Measures Itself: Early Results

from the Software Manufacturing Doctrine

In the past year, our team has been developing a next-generation framework for software manufacturing — a system designed not just to build software, but to continuously verify the integrity, resilience, and clarity of its own process.

Our recent internal audits, conducted using multi-disciplinary evaluation models derived from the TERCOSP-02/Γ and MIR-EVNP-03/Ω methodologies, confirmed several early-stage strengths:

  • Developer Ramp-Up: Teams reached productive autonomy in 9–13 weeks, aligning with real-world training benchmarks.
  • Training Efficiency: Structured AI-assisted onboarding achieved ~7 weeks average training time, with strong comprehension retention.
  • System Resilience: Process durability (rₛ ≈ 0.65) matched or exceeded the reliability of modern DevOps pipelines.
  • Cultural Sustainability: Transparent documentation practices reduced burnout risk by roughly 3–5%, when paired with privacy-guarded audit mechanisms.
  • Market Potential: Internal modeling indicates a 10–25% adoption window over the next 5–7 years, comparable to the diffusion rate of version control and containerization tools.
These findings mark a quiet milestone: a self-auditing development doctrine that meets or exceeds the rigor of leading industry assessments while remaining open to continuous falsification. We consider that a feature, not a flaw.

Our next steps:

  • Launching pilot integrations with early-stage software firms.
  • Publishing our first transparency ledger documenting both successes and controlled failures.
  • Releasing simplified educational materials on the principles behind invariant search, cognitive load reduction, and transparency-by-design.

This project began as a response to asymmetry — to prove that small teams with clear ethics and measurable transparency could out-think established giants. We’re now ready to share our first evidence that it works.

(IP retained by the originating author. All audit structures remain open for independent verification.)

Comments

  1. Roger AbramsonOctober 17, 2025 at 9:08 PM

    Thanks for reading.

    We’ve tested this doctrine across early-stage teams, but the next wave depends on real-world feedback. If you’ve seen similar bottlenecks — cognitive overload during onboarding, version control friction, or burnout tied to transparency fatigue — we’d like to hear what your data shows.

    What’s the hardest part of scaling clarity itself in your environment?

    ReplyDelete

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