Testing Is the Bottleneck: Why Regression Testing Decides When You Can Cut Over

Bar chart: what manual regression testing actually costs in time -- 30 minutes for 1 scenario versus 480 minutes (a full working day) for 10 core scenarios.
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and automated execution engines can then run them in parallel, cutting the 20-to-40-minute manual execution time PerfecTwin's analysis describes down to seconds per case, the same shift software teams made with continuous integration, applied to an SAP landscape. SAVIC Technologies found efficiency gains of 25 to 40% in high-readiness environments using this approach, dropping to 10 to 20% where test documentation was less mature going in. That gap is the point: the tooling speeds up a well-scoped testing plan, it doesn't produce one.
Time cost of manual regression testing at small scale, before multiplying it across a full enterprise test suite. What Still Needs Human Judgment
Automated execution is only as trustworthy as the scenarios and expected results it's checking against. Building that initial library of validated scenarios, particularly for business-critical or highly customized processes, still benefits from experienced testers who understand what "correct" actually looks like for a given process. That includes edge cases a model trained on historical transaction patterns may never have seen. AI-generated test cases are best treated as a strong first draft, one that shortens the path to a validated test suite. They don't replace the people who know the business processes being tested.
Where This Leaves You
With the 2027 deadline fixed and the support available for ECC shrinking every quarter, the programs that hit their cutover date are the ones that scope testing honestly and early rather than treating it as whatever time is left at the end. Orpington Technologies reviews test strategy and coverage as a standard part of its ERP Diagnostic work, whether the migration is being delivered by Orpington directly or by another partner under independent oversight. That review draws on migration delivery experience across finance, logistics, and industry-specific SAP processes, and on AI-assisted testing tools where they genuinely shorten the timeline, as one part of a broader plan for protecting a 2027 go-live date. Learn more about Orpington's approach at orpingtontech.com.
Sources & Further Reading [1] smartShift — SAP Technical Debt: What It Really Costs and How to Measure It in Custom Code Page 3 of 4

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