Prioritize, detect, and validate your results for improved accuracy.
Transform your testing process with us and make it seamless and efficient.
By measuring coverage at both the method and branch levels, TestNavigator provides a deeper understanding of your Java code during the testing phase to release it with minimal risk. The slowdown free branch level measurement helps to test all possible paths through the code, ensuring that all relevant scenarios are covered and no potential issues are missed.
TestNavigator's advanced change detection technology, an essential part of our comprehensive coverage measurement solution, ensures that critical code-level modifications are never missed, and Java code is thoroughly tested to the highest quality. By accurately detecting byte-code level changes made by programmers, TestNavigator gives the confidence to release new versions of Java application with minimal risk by recommending test cases for all changes.
Using a sophisticated test selection algorithm, TestNavigator helps to prioritize testing efforts, ensuring that the most important test cases are executed first. By automatically scoring the potential impact of changes and code-level information on test cases, such as complexity and coding issues, testers can work much more efficiently in a new so-called coverage-driven testing process.
TestNavigator has a full-featured public API layer that allows to leverage the powerful coverage measurement and test selection features of TestNavigator in your own test automation system. Integrating TestNavigator can improve the efficiency and effectiveness of the testing process, ensuring that the current version of the application is thoroughly tested, taking into account code-level changes.
Through the QualityGate integration, TestNavigator provides a number of code-level issues that are derived from QualityGate' deep code analysis, whose execution can have a serious impact on the application under test such as a possible nullpointer exception. If these high-priority coding issues are not covered and tested, how much does the risk of release increase?
Optimize sprint backlog-based test design by analyzing non-covered code snippets in order to create new test cases for reaching uncovered decision points. Make change-based test case execution more efficient by running high priority test cases recommended by TestAdvisor.
Coverage-based quality gate for professional testing.
Start testing the current feature under development by analyzing acceptance criteria and creating test cases for them. Acceptance criteria are the conditions that a software product must meet to be accepted by a user, a customer, or other systems.
After the first round of testing, additional test cases should be created based on the evaluation of the coverage-based results.
If coverage targets are met, testing can be completed as the function has been thoroughly tested.
TestNavigator can detect all code-level changes, giving a more accurate picture of the testing results for the current development. The outcome is clear and unquestionable. Have you been able to thoroughly test the recent changes, or are there any uncovered code fragments?
The main Purpose of UAT is to validate end-to-end business flow based on the following de facto phenomenon: sometimes the functions delivered by the supplier do not meet the enterprise-level system requirements. Stability and fault-proneness are other key issues that can increase the risk of production deployment. Question is simple from the perspective of anyone operating custom software: have the functions involved been thoroughly tested?
In the context of custom software, there is always a crucial question of whether the functional modifications match the code-level changes. What happens if there are hidden code-level alterations that could affect the use of the released product? UAT is carried out in a separate testing environment with production-ready data setup but there is no point in getting closer to the production environment without knowing everything about the current release. The undeniable truth is it that missing or incomplete information leads to inefficient testing, which is the most critical point of the UAT.
As a surveillance system, TestNavigator easily supports UAT process by detecting all executed parts of the software under test at runtime. With information about uncovered parts of the code, UAT testers can apply new test cases, increasing coverage and reducing the risk of live bugs, which always result from uncovered parts and incomplete testing. Several useful metrics are available for the uncovered parts detected, such as complexity or the number of untested code-level issues that may lead to errors.
As a customer-side quality gate, TestNavigator can detect all code-level changes, giving a more accurate picture of the testing results for the current release candidate. The outcome is clear and unquestionable. Have all delivered high- and low-level changes been thoroughly tested, or are there any uncovered and risky code fragments?
TestNavigator is priced per user per month and based on the branches in your code (McCabe complexity). In principle, TestNavigator allows for unlimited applications, environments, releases and test case executions, as well as the Test Advisor score, which is essential for test optimization.
Our cloud-based tool already has a range of exciting new features that improve test management processes for our clients. The development of additional features is ongoing. Our goal is to make the capabilities available with this tool as relevant as possible to our customers' business needs and to help them work more efficiently.
Currently, the free version of the tool is available in On-Premise solution, with the new cloud-based services expected to be available in Q4 2023.