
The following is a list of the commonly used hardware.
pic compilers pic10, pic12, pic16, pic18Īny hardware that supports modern programming languages can be the target hardware for our code coverage tool. All ~23 icc* compiler and corresponding linker. Project with precompiled headers is also supported.
RKTracer doesn’t depend on target architecture or concrete compiler names. In-house custom OS platforms: RKTracer can be custom-built for any in-house Operating System that your organization utilizes. RKTracer is available for use on the following platforms: More detailed information about RKTracer Tool By doing so, developers will be able to determine whether refactored lines of code have been covered or not.
Additionally, RKTracer will provide you with code coverage reports for mutation testing. Using RKTracer, you can obtain code coverage information at a detailed level. You can also use it as a code coverage tool for C#, Java, Kotlin, JavaScript, TypeScript, Golang, and Python.
You can use it as a code coverage tool for C, C++ for unit testing, integration testing, functional testing, and system testing on host and target devices. This allows you to modify, enhance, run, and maintain unit tests even if you do not have to use the rktracer tool. There is no other tool that allows you to automatically add the generated unit tests to your project with just two commands.
The only tool that is capable of generating unit tests in the GoogleTest framework or Unity framework. Support for Test-Driven Development(TDD). You can generate unit tests in your existing development or testing environment without having to import your project to a vendor tool. You can generate unit tests or code coverage by prefixing the rktracer keyword to your build command, or by enabling it in your IDE and rebuilding. The rktracer tool is easy to learn and use. Using rktracer gives you peace of mind since it supports all compilers, cross-compilers, IDEs, and embedded target devices. Even if existing applications or legacy code with or without unit testing, integration testing and functional testing. An automated unit tests generation and code coverage tool must be flexible enough to operate with existing build configurations to be effective.