Benefits of visualising and analysing requirement coverage metrics and gaps
Here are the main reasons to keep track of your requirement coverage metrics.
- Requirements coverage correlates with product coverage. While some requirements have less effect than others, the principle stays the same. If your team has enough tests for all requirements of a software solution, it has enough tests for this solution.
- Requirements coverage keeps you on track. When a new requirement is introduced, adding tests becomes the immediate priority for quality assurance. Larger teams do have the luxury of keeping some testers performing exploratory testing. Most, however, need all testers to get on either creating new tests or handling regression testing.
- Visualising requirements coverage helps you stay compliant. In many sensitive industries, it’s not just end-users and your reputation that demand complete coverage: industry regulators will look for it as well. If you have an easy way to check your status, you are less likely to leave any gaps in your coverage
- Analytics benefit from requirement coverage metrics visualisation. It is tedious, inefficient, and sometimes impossible to go through item history and see when each requirement was finally covered. Dashboards that could display, for example, the average time to create the first test are much more illustrious. They make getting actionable insights straightforward and reduce the room for human error.
- Visualised coverage is an accessible indicator for more than testers. Product Owners get an idea of how truly ready their desired feature is. Project Managers can see whether the project is truly on schedule, as QA is the last step that may or may not finish in time. Business stakeholders, sales people, marketeers can all see whether it’s the time to reveal and push a new feature. Even developers can plan their time better by knowing if a new wave of tests (that would probably fail) is coming.
While this article discusses test coverage visualisation, we will not be dwelling on the exact coverage metrics for requirements-based testing too much. You can find more information in our article on QA metrics in software testing. As for practical tips, look no further than our testing strategy template. It covers the entire process from start to finish, including the tools for proper QA and means to analyse the results.
Testing strategy template to get 100% test coverage
Best practices and tactics of visualising and analysing requirement coverage metrics
Here are the best ways to make test coverage visualisation become your ally rather than a time-consuming headache.
Create dashboards to visualise test coverage
Depending on your test management solution, you can display metrics like tests per requirement, test coverage % for upcoming build, test coverage % per module, and test coverage % total. Arranging these dashboards by different criteria, e.g. time, current/upcoming build, and requirement priority will further help you with prioritisation.
Set up automated alerts
Some modern tools like aqua can send KPI Alerts based on the numbers that a dashboard chart reaches or fails to reach. For example, you can create a dashboard for test coverage % in the upcoming build a week before the release. If that number stays too low, you should ask the QA team to address it and delay the release if needed. Similarly, a requirement that has 0 tests can also trigger an alarm without the need to manually check your TMS workspace.
Create reports to track long-term trends
The dashboards that you created earlier can be used to track historical progress as well. You could use them in weekly or monthly reports that look at the same test coverage metrics to identify improvement potential. Within a few reports, you will see if these improvement ideas worked. It would be great if your test management solution can create periodic reports automatically.
Make a single source of truth
A key challenge in tracking QA metrics is doing so across different tools. A lot of teams would use both manual tests in their test management solution but also specialised testing solutions for certain types of testing or automation. Isolated test coverage visualisation will bring more confusion than clarity. Invest into a solution that has native integrations with your QA test suite and/or supports REST API to track all tests in one place.
The nature of visualisation dictates that demonstrating test coverage requires the right tool to do so. Meet aqua, an AI test management tool used by thousands of users from 200+ banks, healthcare, and government agencies including the German IT infrastructure regulator BaFin. Full test coverage is a must for all these entities, and here is how aqua helps visualising it:
- Requirements tab shows test cases for each requirement. You can quickly see all tests for a requirement and make just one click to browse test execution history. This is the perfect solution for a high-level overview that minimises redundant communication, reduces friction, and puts stakeholders at peace.
- Flexible dashboards allow visualising any data. A lot of otherwise top-tier test management solutions limit dashboards to a set of pre-defined metrics. aqua allows you to visualise any data, including input from an unlimited number of custom fields.
- Integrations make aqua a truly all-in-one hub. You can connect 10+ leading tools like JMeter, Ranorex, and Selenium out of the box. REST API allows you to integrate any other solutions and track tests from it.
- KPI Alerts notify you about any test coverage gaps. You can track any metric and get notified whenever it goes too high or too low. This includes test coverage %, the number of high-priority requirements without tests, and even individual metrics for an upcoming build.
- Advanced reporting is perfect for visualising the changes in your test coverage with time. You can use any data from aqua, add anything custom, and process tests from other solutions. If you need to add context that you believe test management solutions do not provide, use the scripting functionality to transform data the way you want it to see. Reports can be easily exported and shared even with external people if the project needs so.
- AI features facilitate perfect test coverage. You can cover for all edge cases in no time with AI test generation. The AI chat bot can suggest gaps in your test coverage for any requirement. You can opt to receive even more precise tips by allowing aqua’s AI Copilot to learn the context of your project by going through all requirements, defects, and tests.
Visualised test coverage with quick resolution
Conclusion
Visualising test coverage is a daunting prospect. You need to match tests with requirements, find the right visualisation technique, and hope that your test management solution supports it. Demonstrating test coverage across several solutions is a separate headache, especially as entire modules can be elevated to test automation only.
Luckily, there is a solution for companies that value visualised test coverage. aqua is a proven tool with a portfolio of clients in sensitive industries, so helping achieve, visualise, and maintain 100% test coverage is a priority. You bring the requirements, and we got you covered.
Next-gen test coverage visualisation, insights, and action
