Software testing solutions are already considered a significant achievement in the tech market, as testing has become an indispensable part of developing new applications. But why? The answer is simple: because testing is necessary. However, less attention is typically given to this stage of the workflow, but testing is now a key question in successful software development projects.
What determines effective testing?
It often happens that quality assurance teams do not conduct in-depth analyses of the true efficiency of their available regression testing systems. Additionally, from a perspective of managers, the testing phase requires too many resources like money or time. Nevertheless, testing should be viewed as a fundamental pillar of quality assurance.
The QA team validates the system using test cases, but the question is how effective these are in detecting errors caused by code-level changes. Another question arises. Is there a way to select and prioritize the existing test suite to avoid unnecessary waste of resources. TestNavigator provides satisfying answers to these questions.
Innovative software testing
A new test coverage measurement tool, TestNavigator is coming to revolutionize the aforementioned processes. The key to the solution is an advanced change detection technology that ensures that critical code-level modifications can be tested with the highest quality. TestNavigator's test selection algorithm, Test Advisor helps testers prioritize their test cases. With the help of this sophisticated function, the system is able to mark those test cases in real time that affect code sections that are expected to have changed based on the previous execution results.
The technological progress consists in the fact that TestNavigator is specifically designed to help the work processes of the QA team. In addition, project management members can exercise full control over their own testing team and their supplier team. The system is able to support and monitor the work and efficiency of the teams. It can be shown exactly that 30% of the changes have been tested, or 95% already. It is that simple.
This not only saves time but also optimizes energy expenditure among different workflow processes. Some may test the changed parts, while others may carry out other regression-type tests. With an efficient test case selection strategy, testing can be supported, thus regaining true control over quality assurance. TestNavigator can act as a bridge between management and testers.
Solution for testers
But how can the testing process become more efficient? The innovative technology of TestNavigator, detecting changes, sheds light on all code-level modifications introduced into the system since the last release version. Since one key aspect of testing is validating and verifying changes, the real-time test optimization system already guides testers. The coverage for changes should be raised as high as possible, and the software helps achieve this by monitoring the code-level coverage of the software under test at runtime.
UAT Support
UAT aims to validate the client side. In this case, a common problem arises when new or modified features introduced by the supplier and it does not meet relevant requirements. The stability of the system and post-deployment error sensitivity are additional critical factors. These factors can increase the risk of deployment. For software operators, an important question arises: have the affected features been thoroughly tested?
Handover issues are always important in software development, especially when the functional changes handed over do not match the code-level changes. UAT occurs in a dedicated test environment with real data, but comprehensive testing readiness information is needed before deployment. Missing or incomplete information can result in superficial testing, making UAT the most critical point.
Through coverage-driven testing, TestNavigator effectively supports the UAT process by monitoring the code-level coverage of the software at runtime. The information about the untouched areas allows UAT testers to create new test cases, increasing coverage and reducing the risk of errors during provisioning. It is important to recognize that post-arming errors often result from neglected parts of testing. Metrics for coverage gaps, such as domain complexity or the number of untested code-level issues, help identify sources of potential bugs.
Regarding the detection of changes, TestNavigator works as a client-side quality gate, it can detect all code-level changes. This provides a more accurate picture of the current version's testing results and a clear answer as to whether all high and low-level changes have been thoroughly tested, or whether there are areas that are still untouched and may therefore carry high risk.