Validation is the evaluation of an identified subject against defined Validation Criteria for a stated purpose.
Validation determines whether available information supports a Validation Decision concerning the evaluated subject.
Validation can evaluate:
Validation can use:
Validation can consider:
Validation should preserve Provenance and Traceability among the evaluated subject, validation purpose, Validation Criteria, evaluation activities, Evidence, and Validation Decision.
evaluation of an identified subject against defined Validation Criteria for a stated purpose
Adapted from:
ISO and systems-engineering usage associate Validation with evaluating suitability or satisfaction for an intended use or stated purpose.
This definition applies that purpose-oriented evaluation to DIDO-TE while separating the Validation activity from the resulting Validation Decision.
Validation differs from a Validation Decision:
Validation differs from testing:
Testing can provide Evidence for Validation. Validation can also use inspection, analysis, demonstration, modeling, simulation, or expert evaluation.
Validation differs from verification:
The same Test Results and Evidence can support both verification and Validation when the applicable criteria require them.
Validation does not establish universal validity. A positive Validation Decision applies only to:
A subject validated for one purpose, configuration, environment, or operational context is not necessarily validated for another.
Validation can produce a positive, negative, conditional, or inconclusive outcome. An authorized Actor records the authoritative outcome as a Validation Decision under the applicable Governance Policy.
DIDO-TE performs Validation of a selected Node Set for use in a defined distributed transaction scenario.
The Validation:
An authorized Evaluator uses the Validation output to make and record the applicable Validation Decision.
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