Code Coverage Tool
You can automate code coverage tool and report on critical quality metrics such as code coverage. RKTracer is compatible with all compilers, cross-compilers, and frameworks for unit testing, Integration testing, functional testing and system testing.
Furthermore, RKTracer integrates with white box testing into its workflow. So that you may observe code coverage of your application’s internal code. When we restructure code during testing, we save time by executing test cases that are impacted by the code change or refactored code and generate a code coverage report for the refactored code, a process known as mutation coverage.
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 and C++ code, RKTracer silently collects data on test coverage and code coverage, by integrating with your build system and existing testing 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)