Validating the software that analyses your monitoring and mapping data

Whether the analysis runs in a spreadsheet, a monitoring platform or a dedicated engine, it produces GxP records and falls under Annex 11. Verification asks a simple question: given this dataset, does the software produce the right minimum, maximum, mean, hot spot, cold spot and excursion list?

A verification set

• A clean dataset with hand-verifiable statistics.
• Datasets with a single excursion of known duration and magnitude.
• Datasets with gaps, duplicated timestamps and a flat-lined sensor, to confirm they are detected and reported.
• A dataset in °F to confirm unit handling is explicit, not inferred.
• Datasets at the acceptance limit to confirm boundary behaviour.

Deterministic engines make this straightforward: the same input yields the same output, so a verification set can be re-run automatically after every change. ValiTrac's engine ships with such tests and records the code version alongside every result.