As a software tester, you've likely asked yourself: when is it appropriate to stop testing? Should we aim to test 100% of the application? Or should we focus on the most critical modules?
In this article, we’ll share the best techniques to help answer these questions. You’ll also pick up useful tips to make your work more efficient.
Let’s get started!
What is test coverage?
Test coverage is a metric used to measure how much of the system is covered by tests. It helps testers identify areas that haven't been properly examined. With this insight, you can plan further testing tasks.
Test coverage isn’t just about code coverage. It also ensures that user requirements are met. The quality of the software depends on how well the critical functions have been tested.
Code coverage vs. test coverage
A common mistake is treating code coverage as the same as test coverage. Although both aim to improve testing efficiency, there are key differences. Code coverage measures the portion of source code covered by at least one test run. Test coverage, however, is more comprehensive. It reflects the system's functions, including usability and meeting user needs.
Risk-based coverage
Risk-based testing focuses on identifying the highest-risk areas of a system. It ensures that critical parts are tested thoroughly. Several risks can arise during development, such as third-party API errors or data loss issues. For example, when testing a financial app, you must protect sensitive data. The system should also respond correctly if an external service fails.
This method guarantees that all critical software features meet user needs. It also ensures that all important functions are noticed.
Requirements-based coverage
Requirements-based coverage ensures that both user and business needs are met. Sometimes, a product works well technically but fails to satisfy users. For example, a financial app might not offer automatic sync with bank accounts. Even if the system functions perfectly, users may be disappointed.
This method guarantees that all critical software features meet user needs. It also ensures that all important functions are noticed.
Boundary value testing
Boundary testing is an effective way to find errors related to extreme input values. For example, if a system accepts values between 0 and 100, you need to test the boundary values (0 and 100) and those outside the boundary (-1 and 101).
This method uncovers bugs that occur in extreme situations. Boundary testing ensures the system handles critical cases properly.
Conclusion
When you’re unsure how long to continue testing, applying the right measurement techniques is key. This article has shown how test coverage helps optimize testing processes. Whether it’s product-based, risk-based, or requirements-based, the goal is clear. We need to not only cover the code but also meet user needs and minimize risks.
By using these techniques, your testing will become faster and more accurate. You'll also be able to give better feedback on software quality.