The Epistemological Architecture of Engineering
Epistemological Architecture connects evidence, assumptions, uncertainty, boundaries, verification, and release into justified engineering knowledge.
Tag: Requirements Traceability
From Requirement Management to Knowledge Management
Knowledge management extends requirement control by preserving the assumptions, evidence, boundaries, and reasoning that keep engineering conclusions valid.
AI as an Accelerator, Not the Epistemology
AI as an Accelerator can expand engineering reasoning but evidence, boundaries, verification, and release authority still require explicit engineering judgment.
Fresh look: What Requirements Leave Behind
Engineering knowledge extends beyond requirements by preserving assumptions, evidence, boundaries, and reasoning needed for responsible Re-Use.
Engineering Knowledge: From Requirements to Re-Use
Engineering knowledge extends beyond requirements by preserving assumptions, evidence, boundaries, and reasoning needed for responsible Re-Use.
Concept: Requirements Are Condensed Engineering
Requirements are condensed engineering: short statements that capture extensive analysis, evidence, testing, judgment, and prior technical work.
Mature Requirements Are Conclusions, Not Knowledge
Mature requirements capture engineering conclusions, but not the assumptions, evidence, boundaries, and reasoning that make those conclusions valid.
Natural Progression From Usecases to Verified System Behavior
Vehicle safety depends on software readiness, display authority, OTA completion, and verified rearview-camera output during backing events.
Vehicle Safety and the Software Readiness Gap
Vehicle safety depends on software readiness, display authority, OTA completion, and verified rearview-camera output during backing events.
Drowsiness Detection and the Problem of Signal Certainty
Drowsiness detection reveals why uncertain signals require evidence before authority in safety-critical vehicle systems and driver monitoring.