QA Testing: Why Most Bugs Ship (and How We Prevent Them)
Bugs ship for predictable reasons — and they can be prevented
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Why bugs ship
The usual reasons: no test plan, testing left to the end, testing on one device, and fixes that are never re-tested.
Bugs rarely ship because testers are careless. They ship because the process makes them invisible until it is too late. The most common pattern: development runs long, the deadline does not move, and testing gets squeezed into whatever time is left. A week of planned testing becomes two frantic days, the obvious paths get checked, the edge cases do not, and the release goes out with a silent backlog of undiscovered problems.
The second pattern is testing by the same person who built it. Developers test the path they intended — they know which buttons to press in which order. Real users press them in a different order, enter unexpected data, lose their connection mid-task, and use three-year-old phones. The bugs live in the gap between the intended path and the real one, and only independent testing closes it.
Then there is the device problem. Software that works perfectly on the developer’s machine and the manager’s phone fails on the devices customers actually own: older operating systems, small screens, slow networks, aggressive battery savers that kill background processes. If testing happens on one device, you have tested one device.
And finally, the fix-without-retest. A bug is found, a developer fixes it quickly, and the fix ships without verification — sometimes reintroducing the bug, sometimes breaking something adjacent. A fix that was never confirmed working is not a fix; it is a hope.
How we prevent them
Test planning from the start, functional testing, cross-browser and mobile testing, regression testing after every change, and release sign-off.
Prevention starts before a line of code is written. A test plan lists what will be tested, on which devices and browsers, with what data, and what “done” means for each area. Writing it early forces the requirements to be testable — vague requirements produce untestable software, and untestable software ships bugs by construction.
Functional testing then walks every feature as a user would: the happy paths, the error paths, the empty states, the permission denials, the interrupted flows. Cross-browser and mobile testing repeats the critical paths on the combinations real users have — not every combination in existence, but the ones your analytics or your market tell you matter. For business software in particular, that usually means Chrome plus one other browser, and a spread of Android devices alongside iPhones.
Regression testing is the discipline most teams skip and most regret skipping. Every change — every fix, every new feature — gets the existing test suite run against it, because software breaks in the places you did not touch. Automated regression suites earn their keep here: machines re-run hundreds of checks in minutes, every time, without boredom or shortcuts. And release sign-off is the gate: a named person confirms the test plan was executed, the results were reviewed, and the known issues are documented and accepted — not discovered by customers.
Fixes must be confirmed
A fix is not done when it is written — it is done when it is tested and confirmed working.
This deserves its own rule because it is violated so often. The lifecycle of a bug should be: reported with steps to reproduce, reproduced by the tester, fixed by the developer, verified by the tester on the same steps, then closed. Skip the verification step and you get zombie bugs — reported fixed, still broken, now with the added cost that nobody is looking for them anymore.
Verification should also check the neighbourhood: the screens, reports and workflows adjacent to the fix. A discount calculation fix that breaks the tax total is a classic. Good bug tracking tools support statuses — fixed, awaiting verification, verified — so nothing slips through in the gap between “developer done” and “actually done”.
A practical test checklist
For a typical business application release, the minimum viable test pass looks like this: all core user flows end-to-end on the primary browser and one mobile device. Login, permissions and roles — can each role see exactly what it should, and nothing more? Data integrity — do the numbers on screen match the database, especially totals, taxes and balances? Failure behaviour — what happens with no connection, with bad input, with a session timeout? Performance on realistic data volumes, not the ten tidy rows in the demo database. And the upgrade path — does existing data survive the new version intact? Run this list every release and you will catch the bugs that embarrass companies.
Manual vs automated testing
Both, in the right places. Automated tests excel at repetition: regression suites, API checks, calculations that must be right every time. Manual testing excels at judgement: usability, visual issues, the strange-but-plausible things real users do. A common healthy split is to automate the stable core — the things that must never break — and keep humans on the new features, the user experience and the edge cases.
QA as a service
See our QA & Testing service for structured testing before launch and after every release.
Independent QA is worth considering when your team is too close to the product to test it honestly, when a release is too important to risk, or when you simply have no dedicated testers. An outside QA team brings fresh eyes, real-device coverage and a structured process — test plans, documented results, verified fixes, signed-off releases. It is also a good fit before major launches, after large refactors, and on any schedule where “we will test if there is time” is the current plan. Typical custom projects run $2k–$50k+ — contact us for an itemised QA estimate.
Work with Huzi Developers
Huzi Developers has built software since 2003 — custom software, web apps, mobile apps, HdeBooks and HDe School. Contact us or visit the Shop to get started.