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Direct, practitioner-reviewed answers on Veeva architecture, validation evidence, migration, operational ownership and regulated AI.
How to Define GxP Regression Testing Scope After a System Change
Define regression scope from the change's plausible consequences, not from a fixed percentage of the old test pack. Trace the changed component through intended uses, dependent configuration, interfaces, roles, data and exception paths, then rerun the tests needed to re-establish confidence in affected claims. For previously passed tests that are not rerun, retain a risk-based rationale showing why the change cannot reasonably invalidate that evidence.
Read Validation & EvidenceWhen Can Automated Testing Be Used as GxP Validation Evidence?
Automated testing can support a GxP validation claim when the test objective and acceptance criteria are defined, the automated script or test logic is controlled, the execution is bound to the relevant software version and environment, and the retained result makes the inputs, tool identity, outcome and failures reconstructable. Automation can execute evidence consistently, but it does not remove the need to establish that the test itself is suitable for the assurance claim.
Read Validation & EvidenceWhat Makes a Test Environment Representative for GxP Validation?
A test environment is representative when the characteristics that can materially affect the assurance claim match production, or when each relevant difference is understood, assessed and justified. Compare configuration, software version, integrations, security, reference data, infrastructure behaviour and process dependencies against the claim being tested. Where an important production-only condition cannot be reproduced, add targeted production verification or another control rather than assuming the non-production PASS transfers automatically.
Read Validation & EvidenceHow Should Test Data Be Controlled in GxP System Validation?
Control validation test data as part of the test design. The data set should represent the conditions the assurance claim depends on, including normal, boundary, invalid and exception cases where relevant, and its provenance should be known. Production-derived data should be used only with justified need and appropriate privacy, security and integrity controls. Keep test data distinguishable from regulated production records and retain enough information to reconstruct which data population supported each result.
Read Validation & EvidenceWhen Can a GxP System Be Released with Open Defects?
A GxP system can be released with an open defect only when the issue does not leave a critical requirement uncontrolled, its effect on records and decisions is understood, any mitigation is demonstrably effective, residual risk is explicitly accepted by the appropriate authority, and the open item has an owner and closure plan. A workaround is not enough if the defect can still undermine data integrity, required control behaviour or a relied-upon regulated decision.
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