fpf.tools
Library / Systems Engineering Principles Framework
Jump to passage
In this reading
Source · lines 3178–3195

Link to current text

Published source confirmed at last check

Source changed 2026-10-03 05:29:54 UTC · snapshot created 2026-10-03 05:30:57 UTC · last check 2026-10-03 07:40:10 UTC

SYSE.7:6 - Bias Annotation

This pattern resists four recurrent source and practice biases.

  • Artifact bias. Sources such as standards, university curricula, tool vendors, and process descriptions often organize engineering around named documents or model kinds. The pattern preserves useful distinctions but begins from current decisions and Work.
  • Official-model bias. A heavily published source—for example, a normative language, standard, ontology, or repository—may have limited or ceremonial use in projects. Official publication establishes scope and declared capability; assess practical adoption, beneficial use, shared interpretation, and current SoTA separately.
  • Software-transfer bias. Software practices such as executable models, generated links, continuous integration, and automated checks can be valuable. Physical concerns—for example, realization, supply, installation, calibration, environmental exposure, or operating evidence—remain distinct and may require slower or destructive checks.
  • Academic-evidence bias. A bounded study—for example, a prototype consistency checker, digital-twin mapping study, or one case—can sharpen a Method without establishing broad industrial effectiveness. Use the best available expert judgment with a stated epistemic status when comparative field evidence is unavailable; do not demand an unaffordable prevalence study or upgrade publicity to use evidence.