Code Coverage analysis Tool
You can automate the generation of code coverage analysis reports with zero modification to your source code and check the quality of your tests. RKTracer is compatible with all compilers, cross-compilers, and frameworks for unit testing, Integration testing, functional testing and system testing.
When you refactor code or add new functionality to software. You can save time by running test cases that are affected by a code change or refactoring. Then, using the rktracer tool’s delta code coverage report. You can determine whether newly added code is covered by existing tests or if more tests must be added. Because no code should be released without being thoroughly tested.
By using RKTracer, developers and testers can collaborate on test activities, reduce test times, and see up-to-date metrics about release readiness. As a part of the continuous capture of crucial metrics on C, C++, C#, Java, JS, TypeScript, Python, Golang code, RKTracer silently collects data on test coverage and code coverage, by integrating with your build system and existing test infrastructure.
RKTracer seamlessly integrates with your existing workflow and testing tools, so you don’t need to make any changes to them.
How It Works
In addition to integrating with development infrastructure and software testing tools, RKTracer collects critical data, such as code coverage metrics and changes in code coverage. It is not just lines of code that are covered by the code coverage report; it is sections of code that are covered as well.
It provides development and quality assurance engineers with a centralized point of control for all test operations and provides code coverage reports as well as a variety of extra data that can be used to improve quality.
There is no need to modify your existing workflow and build systems as rktracer tool will take care of it for you. By doing periodic system and unit testing, integration testing, and functional testing, you create a data repository of test coverage and other metrics that can be used to analyze and answer queries like.
- Do you know how much research has been done on this?
- How much more testing is required?
- What areas should I focus my testing efforts on next?
Automated reporting on code coverage
Generally, the code coverage of an application is measured by analyzing the source code inside the application that is executed by each test case. Untested areas of a code base may be identified by this data, which can be used in conjunction with other quality improvement indicators such as code complexity and defect counts to drive quality improvement activities. Statistics on code coverage may also provide information about troubleshooting applications.
In general, once you have enabled rktracer tool and added auto generated unit test sources to your application. Independent of rktracer tool you can automate continuous integration and regression testing, as well as generate code coverage (with mutation-based code coverage)