For example, let's say that on Day 3 you expect a set of trades to be settled and posted to the customer accounts so you can print statements on Day 4. Unfortunately, due to problems with the pricing tables, the trades are posted with incorrect amounts. If so, you may later find problems with the statements. The ideal solution, if you have archived the expected Day 3 data state, is to simply restore it and proceed with Day 4. That way you can proceed with your test schedule while the earlier problems are being resolved.
Manual testing can be free of structure and control.
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