Not every test case needs automated regression testing. Not every project justifies the investment. Not every team has the infrastructure to support it effectively. This is the problem that nobody talks about: automated regression testing is powerful, but it can also be expensive, time-consuming, and frustrating if implemented in the wrong context. The difference between successful automated regression testing and wasted effort comes down to making the right decision about when to automate and when to stick with manual testing or skip entirely. This is a decision framework for making that choice systematically instead of guessing. Why the Decision Matters Automated regression testing requires: Initial infrastructure investment (tools, setup, integration) Ongoing maintenance (test updates, false positive management) Team training and adoption Time to see ROI (typically 2-3 months) In some contexts, this investment pays for itself in weeks. In other contexts, it becomes a burden that slows the team down.…