The Importance of Software Quality Assurance (SQA)
In short
Software quality assurance (SQA) matters because it prevents defects instead of only finding them. It sets the standards, reviews and tests a team follows from requirements to release, so problems surface while they're small. Without it, defects reach users, security gaps stay open and releases get harder to trust.
What is software quality assurance?
Software quality assurance (SQA) is the set of planned activities that give confidence a product will meet its quality requirements. It covers the whole lifecycle: how requirements are written, how code is reviewed, how the software is tested and released, and how the team learns from defects. IEEE 730, the IEEE standard for software quality assurance processes, sets out requirements for planning, controlling and running SQA on a development or maintenance project.
"Quality" needs a definition before a team can assure it. The ISO/IEC 25010 product quality model splits it into nine characteristics:
- Functional suitability
- Performance efficiency
- Compatibility
- Interaction capability
- Reliability
- Security
- Maintainability
- Flexibility
- Safety
Most teams pick the few that matter most for their product and turn them into measurable acceptance criteria.
Why is software quality assurance important?
The importance of software quality assurance comes down to prevention. It's easier to build quality in than to inspect it in at the end.
Users get software that works as expected
Clear acceptance criteria, and testing against them, mean features behave the way users were promised. Fewer surprises after launch means fewer support requests and more trust in each release.
Less rework late in the project
A misunderstanding caught while reviewing a requirement takes a conversation to fix. The same misunderstanding found by users after launch can mean redesign, rework and a hotfix release. QA moves defect discovery earlier, where fixes are smaller.
Fewer security gaps
Security testing belongs in the QA process, not only in an annual audit. The OWASP Top 10 lists the most critical web application security risks and is a common baseline for what to test.
Safer, faster releases
DORA's software delivery metrics include the change fail rate: the share of deployments that need immediate intervention, such as a rollback or a hotfix. Automated tests and release criteria keep that rate down, so teams can release more often with confidence.
Software the next team can maintain
Coding standards, code review and documentation are QA activities too. They keep a codebase readable when people change, which matters for long-running products and for support teams.
What is the difference between QA, QC and testing?
QA improves the process, QC checks the product, and testing is the main way QC checks it. The ISTQB Certified Tester Foundation Level syllabus draws the same line: QA is a process-oriented, preventive approach, while QC, which includes testing, is a product-oriented, corrective one.
| Quality assurance (QA) | Quality control (QC) | Testing | |
|---|---|---|---|
| Focus | The process used to build software | The product that was built | The product's behavior |
| Goal | Prevent defects | Find defects before release | Show where actual behavior differs from expected behavior |
| When | Across the whole lifecycle | At review and test points | During development and before each release |
| Who | The whole team, led by QA | QA engineers and reviewers | Developers, QA engineers and users (UAT) |
| Examples | Coding standards, definition of done, retrospectives | Code reviews, inspections, release checks | Unit, integration, end-to-end, performance, security and acceptance tests |
| Output | A better process | Defect reports and go/no-go decisions | Test results |
What does a software QA process include?
This is the checklist we'd expect to see in every sprint of a healthy project:
- Quality goals and acceptance criteria for each feature, written before development starts.
- Requirements and design review to catch gaps and contradictions early.
- Coding standards, static analysis and code review on every change.
- A risk-based test plan that puts the most testing where failure would hurt most.
- Manual and automated testing, with unit, integration and end-to-end tests running automatically in the CI pipeline.
- Exploratory, usability and accessibility testing by people, for what scripts miss.
- Security testing against a baseline such as the OWASP Top 10.
- Performance testing for the load the product must handle.
- User acceptance testing (UAT) by the client or end users before release.
- A definition of done and release criteria that every release must meet.
- Monitoring and defect triage after launch, so production issues feed back into the plan.
- Retrospectives that change the process when the same kind of defect keeps appearing.
What happens when a team skips QA?
The work doesn't disappear. It moves to a later, harder point:
- Defects reach users, and each fix interrupts planned work.
- More releases fail and need a rollback or hotfix.
- Security weaknesses stay open until someone finds them from the outside.
- Support requests grow and take time away from new features.
- The team gets wary of deploying, so releases become bigger, slower and riskier.
- The codebase gets harder to hand over to a new team or a support provider.
How do we build QA into delivery?
Testing is a named step in our delivery process, not an afterthought: we test while we build, before every release and after launch, when the product keeps changing as users respond.
We also validate risky ideas before scaling them. For Zero Cheating, a Chrome extension that flags AI-written exam answers, we built a proof of concept and showed it worked in a controlled environment before full-scale rollout.
If you need a team to plan and run this process, our QA testing services cover manual and automated testing, regression suites and user acceptance testing. For products already in production, our application support and maintenance services cover monitoring, bug fixes and updates after launch.
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Frequently asked questions
Short answers to the questions readers ask next.
Who is responsible for quality assurance on a project?
The whole team. Product owners write acceptance criteria, developers write tests and review code, QA engineers plan and run testing, and users run acceptance tests. A QA lead owns the test plan and release criteria, but nobody can add quality at the end.
Does quality assurance slow down development?
Not when it runs inside every sprint. Reviews and automated tests add a little time to each change, but they prevent the rework, hotfixes and rollbacks that derail plans later. DORA's research finds that speed and stability tend to rise and fall together.
How can a team tell whether its QA process is working?
Watch the trends. More defects should be caught before release and fewer should reach users. DORA's change fail rate and recovery time show whether releases are getting safer, and repeat defects show where the process still has gaps.
Is there a standard for software quality assurance?
Yes, several. IEEE 730 covers SQA processes, ISO/IEC 25010 defines product quality characteristics such as reliability and security, and the ISTQB Foundation Level syllabus gives teams shared testing terms.
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