SPI-CILLUSTRATIVE
Tracks quality-adjusted software production economics across comparable software classes.
Software Production Intelligence
Index Universe
The economics, quality and intelligence of software production. Twelve canonical indexes. Eight discovery families.
12 canonical indexes
QAPEMETHODOLOGY ONLY
Measures qualified software output relative to the resources required to produce it.
BCXMETHODOLOGY ONLY
Measures the fully loaded cost of developing and delivering software that meets defined quality standards.
TTXMETHODOLOGY ONLY
Measures the time required to transform approved requirements into accepted, deployable software.
CAPXMETHODOLOGY ONLY
Measures qualified software production output relative to the capital deployed.
RUXMETHODOLOGY ONLY
Tracks validated component reuse and its measured effects on development cost, time, and quality.
AIXMETHODOLOGY ONLY
Measures observable AI participation in software production, distinguishing automation from demonstrated productivity gains.
HLXMETHODOLOGY ONLY
Measures qualified software output per human hour, including oversight, corrections, and rework.
RQXMETHODOLOGY ONLY
Evaluates software against defined reliability, security, maintainability, and operational quality standards.
CRXMETHODOLOGY ONLY
Evaluates whether software meets the requirements for secure, supported commercial deployment.
PFXMETHODOLOGY ONLY
Tracks leading validated software production outcomes across comparable projects and complexity classes.
RCXMETHODOLOGY ONLY
Estimates the fully loaded current cost of reproducing equivalent software functionality and quality.
In focus · SPI-C
SPI Composite
Tracks quality-adjusted software production economics across comparable software classes.
Headline demonstration of index construction: a single series summarizing movement across all five software classes.
ILLUSTRATIVEEvidence: UNVALIDATED
115.3
ILLUSTRATIVE · synthetic · not an official benchmark
- Methodology
- v0.1-provisional
- Confidence
- U · unvalidated
Measurement relationships
Different questions. Shared input concepts.
Registry-based context only — not measured correlations or calculation dependencies.
SPI-C
Methodology & evidence requirements
Provisional formula
SPI Composite(t) = (S1(t) + S2(t) + S3(t) + S4(t) + S5(t)) / 5
Required inputs
- Class index levels S1–S5 (synthetic demonstration series)
Each class enters at equal weight; class levels are normalized to 100 at the base period before averaging.
- Equal 20% weights are a provisional demo convention, not an empirically validated weighting methodology.
- Underlying class series are synthetic; the composite is not a measured industry trend.
Canonical means part of the SPI registry, not validated or officially published. Only the Composite carries synthetic demonstration values. Proposed families have no index definitions or measurements.