What is QA Testing?
QA testing is the process of checking software against its requirements to find defects before users do. It combines manual and automated checks across functionality, usability, performance and security to confirm a product works correctly and is ready to release.
How does QA testing work?
QA testing verifies that software does what it is supposed to do and behaves well when it is pushed in unexpected ways. It starts from the requirements and acceptance criteria, from which testers derive cases covering both the expected paths and the edge cases that break things. Each case is executed - by a person, by an automated script, or both - and the results are compared against what should happen. Defects are logged, fixed and re-checked. The cycle repeats until the product meets the agreed quality bar.
Testing happens at several levels: individual components, the way components work together, and the whole product end to end as a real user would experience it. Catching a defect at the component level is far cheaper than catching it after release.
Why QA testing matters
Software defects that reach users cost trust, money and reputation - a broken checkout or a crash on launch day can undo months of work. QA testing matters because it moves defect discovery before release, where fixing is cheap, rather than after, where it is expensive and public. It also protects against regressions, where a new change quietly breaks something that used to work. Consistent QA is what lets a team ship frequently and still sleep at night.
What are the main types of QA testing?
QA spans several testing types:
- Functional testing - does each feature behave as specified?
- Integration testing - do components work correctly together?
- Regression testing - did a change break anything that worked before?
- Performance testing - does it stay fast and stable under load?
- Usability and accessibility testing - is it clear and usable for everyone?
QA testing best practices
Start testing early rather than treating it as a final gate, because defects found late are the most costly. Automate repetitive, stable checks - particularly regression suites - so people are free to focus on exploratory and usability testing where human judgement matters. Write clear, reproducible defect reports so fixes are fast. Test on real devices and conditions, not just ideal ones, and tie testing back to acceptance criteria so done is objective rather than a matter of opinion.
How PixelForce approaches QA testing
At PixelForce, QA is built into Phase 2 - Development, QA and Release, not bolted on at the end. Our in-house Adelaide team tests functionality, performance and usability against the acceptance criteria agreed during scoping, which keeps quality measurable rather than subjective. This discipline underpins outcomes like our 98% first-time app-store approval rate and 99.99% crash-free reliability across 100+ products shipped. QA also continues into Phase 3 - Post Launch Support, where regression checks protect a live product as it evolves - part of the ongoing app maintenance and support we provide. Quality is treated as a deliverable, not a hope.
Where this applies
The PixelForce services where QA Testing matters most - explore how we put it to work in client products.
Related terms
Other glossary definitions closely related to QA Testing.
Frequently asked questions
The terms are often used interchangeably, but there is a useful distinction. Quality assurance is the broad discipline of building quality into the whole process - standards, reviews and prevention. QA testing is the more specific activity of executing tests to find defects in the software itself. Testing is one important part of quality assurance; assurance is the wider system that aims to prevent defects, not only detect them.
Throughout, not just at the end. Testing that starts early - while features are being built - catches defects when they are cheapest to fix and prevents problems compounding. A final round of testing before release still matters, but treating QA as a last-minute gate leads to expensive late discoveries. The most reliable teams test continuously alongside development and keep regression checks running as the product changes after launch.
Manual testing has a person execute test cases and explore the product, which is ideal for usability, edge cases and judgement-based assessment. Automated testing uses scripts to run checks quickly and repeatedly, which is ideal for stable, repetitive cases like regression suites. They are complementary: automation handles the predictable, high-volume checks efficiently, freeing people to focus on the nuanced, exploratory testing that machines cannot do well.
No - no amount of testing can prove software is entirely free of defects, only reduce the likelihood and impact of those that remain. The goal of QA testing is to drive risk down to an acceptable level for release, focusing effort on the most important and most likely failure points. Combined with monitoring after launch, thorough QA gives high confidence, but absolute guarantees are not realistic in software.
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