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++,CUDA, 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.

Advantages

  • Code coverage metrics for C , C++ ,CUDA and Python in case you have functional test cases.
  • Very easy to use and configure. Just enable the tool in IDEs or prefix rktracer in the command line interface for integration with the build system.
  • You can perform coverage testing on a host platform, a simulator, an emulator, or an embedded device.
  • Based on the compiler or cross compiler ,runtime libraries will be automatically added to the build system. Less time spent on tool configuration.
  • Code coverage reports for unit testing, Integration testing ,functional testing and system testing. 
  • Function coverage, Statement coverage, Branch coverage, Condition coverage, MC/DC coverage and Multi condition coverage.
  • Command Line Interface to integrate with Jenkins ,Azure Devops to support continuous and parallel testing.
  • Merging of reports from unit tests, integration tests, functional tests and system testing even with code change. 
  • Plugin for IAR embedded workbench, CCS IDE, Visual Studio IDE, Eclipse IDE, DS-5 IDE, Simplicity studio IDE, Keil uVision , Android studio IDE and many more. 
  • Code Coverage reports are easy to interpret in HTML format and XML reports for CI and plugin for SonarQube.

Tool Integrations

  • C and C++ support for C89, C90, C95, C99, C11, C17, OpenMP, OpenACC, C++98, C++03, C++11, C++14, C++17, C++20.C++23
  • Supports Windows, Linux and Mac OS platforms.
  • Supports all compilers, cross-compilers, simulators,GPUs and embedded systems architectures.
  • Comes with a plugin for IDEs, Continuous integration.
  • Supports testing on host, simulator, emulator and embedded targets.
  • Generates reports in HTML,XML and many more.
  • Supports Command line integration.
  • Support for Jenkins, Azure Devops,Gitlab and SonarQube

RKTracer supports integration with Continuous Integration servers such as Jenkins and opens the doors to the distribution of tests across multiple test machines.

RKTracer enables users to execute various types of tests without having to learn new tools or its methods.

RKTracer automates the collection and management of code coverage data during testing, enabling users to easily discover untested parts of the program and calculate the resources required to increase testing effectiveness.

Legacy programs that include tests are often poorly documented and hardly ever examined for improvement as they grow. RKTracer generates code coverage statistics for individual application components simply by running the application or any tests included in legacy code, enabling you to determine the value of each test and detect duplicate tests.

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)

Don’t take our word for it. Try the RKTracer tool for a 30-day free trial?

Do you have Questions? Email us @ info@rkvalidate.com or call us +91-8971088344

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