Quick answer: Test a game update before shipping by verifying the change itself works, testing the things the change touches where regressions hide, running a smoke test of the critical paths to confirm nothing fundamental broke, and using a staged rollout with crash monitoring to catch what testing missed. An update's biggest risk is breaking what already worked, so testing must cover more than just the new change.
Shipping an update to a live game is riskier than it looks, because an update does not just add the new change, it risks breaking things that were working perfectly before. The classic update disaster is a small fix that introduces a regression elsewhere, breaking a feature players relied on, so testing an update well means testing far more than the change itself: the things the change touches, the critical paths that must always work, and ideally a controlled rollout to catch whatever you missed. For a small team shipping frequent updates to a live game, a reliable update-testing routine is what keeps each update an improvement rather than a gamble. Here is how to test a game update before shipping.
An update's real risk is breaking what worked
The mindset for update testing is recognizing that the change itself is usually the easy part to verify, while the real risk is the update breaking something that was working before, a regression introduced as a side effect of the change. Players are far less forgiving of an update that breaks a feature they relied on than of a new feature that is imperfect, so the regression risk is the one to focus on.
This means update testing is mostly about what the change might have broken, not just whether the change works, which is a different and broader question than testing a new feature in isolation. The interconnectedness of game systems means a change can ripple into unexpected places. Understanding that an update's real risk is breaking what worked frames the whole testing approach, since it directs your testing beyond the obvious, the change, toward the less obvious, the things the change could have disturbed, which is where update disasters actually come from.
Verify the change itself
Start with the straightforward part, verifying the change itself does what it is supposed to, the bug it fixes is actually fixed, the feature it adds actually works, the behavior it alters actually changed correctly. This is the most obvious testing and the easiest to do, since you know exactly what the change was meant to accomplish and can check it directly.
Test the change under the conditions it was meant to address, reproducing the original problem to confirm the fix resolves it, or exercising the new behavior across its cases. Use the captured reproduction from the original bug report to verify a fix against the exact conditions that triggered it. Verifying the change itself is the necessary first step of update testing, confirming the update accomplishes its purpose, but it is only the beginning, since a change that works perfectly can still have broken something else, which the rest of the testing must catch.
Test what the change touches
The crucial and often-skipped step is testing what the change touches, the features, systems, and code that interact with or depend on what you changed, since that is exactly where regressions hide. A change does not exist in isolation, and its blast radius, everything it could affect, is where you must look for the breakage it might have caused.
Work out what depends on the changed code and what shares systems with it, and test those things specifically, since a fix to a shared system can break any of its dependents, and that is the regression you must catch before shipping. Your regression tests help here, automatically checking that previously-working behavior still works. Testing what the change touches is the heart of update testing, the step that catches the regressions that are an update's biggest risk, since it deliberately looks beyond the change to the things the change could have disturbed, which is where the update disasters that break working features actually originate.
Run a smoke test of the critical paths
Beyond the change and its blast radius, run a smoke test of the critical paths before shipping any update, confirming the game still boots, loads, runs its core loop, and saves, since an update can break something fundamental in a way that has nothing to do with the change's intended area, and a quick check of the essentials catches catastrophic breakage. A smoke test is fast insurance against shipping a fundamentally broken build.
If you have automated your smoke tests, this is nearly free on every update, and even a manual run-through of the critical paths catches the worst surprises. The smoke test confirms the update did not break the basics. Running a smoke test of the critical paths is the safety check that ensures no update ships with the game broken at a fundamental level, complementing the targeted testing of the change and its touches with a broad confirmation that the essentials, the things that absolutely must work, still do after the update.
Ship with a staged rollout and watch crashes
No amount of pre-ship testing catches everything, so ship the update with a staged rollout and watch your crashes, releasing to a fraction of players first and monitoring your crash rate and bug reports before expanding, so any problem your testing missed is caught while it has reached only a few players. The staged rollout is your safety net beneath the testing.
Bugnet captures crashes and bug reports tagged with the build during the rollout, so you can see immediately whether the update is generating new problems and halt the rollout if it is, containing a bad update to a small group. This catches the regressions and crashes that only real player conditions reveal. Shipping with a staged rollout and watching crashes completes the update-testing approach, pairing the pre-ship testing that catches the predictable problems with the controlled rollout and monitoring that catches the unpredictable ones, so that even an update with a problem your testing missed becomes a contained, observable incident rather than a disaster.
Make it a repeatable routine
The way to ship reliable updates consistently is to make this a repeatable routine rather than improvising each time, a standard sequence of verify the change, test what it touches, smoke test the critical paths, ship staged and watch, that you run for every update. A routine ensures each update gets the same protection regardless of how rushed or how minor it seems.
Minor updates are exactly where teams skip testing and get burned, since a tiny change feels safe but can break something, so applying the routine even to small updates is what prevents the surprise disasters. Automating parts of it, smoke tests, regression tests, makes the routine cheap to run every time. Making update testing a repeatable routine is what gives a small team the confidence to ship updates frequently to a live game, since every update, large or small, passes through the same protective sequence, turning updating from a recurring gamble into a controlled, reliable part of operating the game.
An update's real risk is breaking what worked. Test the change, what it touches, and the critical paths, then ship staged and watch crashes.