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Why is test coverage challenging?
Lack of reporting
With test coverage, it is hard to access accurate test results. Testers are having a hard time to understand why a test is returned as KO or to increase coverage through positive and negative test data. Get rid of flaky tests and maintain tests based on user story evolution.
User journey management
Customers can now use complex user paths with multiple data, on multiple devices and with multiple navigators. The need to perform multiple types of data tests, on access control of an application, on object' transitions subject to a workflow implies depth on functional tests. But also the ability to manage a high volume of steps.
Time & cost limits
Manual validation is made by developers or project managers and takes too much time compared to development activities. On the other hand, regular changes of UI makes it hard to maintain automated tests. Time spent becomes hard to justify to stakeholders when it comes to creating and running tests, as well as the high cost of test-related services and infrastructure.
Discover Agilitest, a no-code functional automation platform for test coverage
Agilitest is an intuitive suite so that everyone can automate functional tests at scale and optimize test coverage.
Reached in test coverage
Saved in test maintenance costs
That's the time divided to create new tests
Reduce time & costs
Lower the time and cost of writing tests by pooling functional test modules. Create complex and scalable automated user interface tests. Run automatically as part of a continuous integration (CI) after each new build or release candidate.
Execute end-to-end tests across multiple operating systems, browsers and web applications. Use the same intuitive, no-code approach to automate any technology, from SAP to web services, desktop and mobile applications.
Get a better path coverage
Customers can now use complex user paths with multiple data, on multiple devices and with multiple navigators. Reuse common scripts to extend coverage or add depth to your tests by replaying them on further data, a useful approach when your customers report bugs related to their data.
Leverage data-driven testing
Get the ability to cover different types of data and to add depth to your tests by replaying them on extended data. Deliver more accurate results when your customers report bugs related to their data.
Test coverage is an important indicator in software testing in terms of quality and effectiveness. Test coverage helps determine whether a test case is covering the application code and how much code is exercised when those test cases are run. Test coverage enables testers to identify gaps at early stages, get better coverage and to remove redundant cases. It basically saves time and money.
Why is test coverage important?
Test coverage is important because it helps ensure that your code is thoroughly tested and that all possible scenarios have been accounted for. It is also a good indicator of the quality and reliability of your code, as higher test coverage typically indicates a more robust and well-tested codebase.
How do I measure test coverage?
There are a variety of tools and techniques that can be used to measure test coverage. Some common options include code coverage tools that analyze your code as it is executed and generate a report of the lines of code that have been covered, as well as testing frameworks that include built-in coverage reporting features.
What is a good test coverage percentage?
There is no hard and fast rule for what constitutes a "good" test coverage percentage, as it can vary depending on the nature of your codebase and the complexity of your tests. However, many experts recommend aiming for at least 80% test coverage as a general benchmark.
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