白書
PLM upgrades are often delayed due to manual testing, limited integration coverage, and regression-heavy validation. This white paper explores survey-backed PLM testing challenges and explains how model-based, AI-assisted testing enables end-to-end workflow validation, reduces upgrade risk, and restores confidence in complex PLM environments.
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