Coverage.py vs. JCov vs. Python vs. TestLeft Comparison Chart

The JCov open-source project is used to gather quality metrics associated with the production of test suites. JCov is being opened in order to facilitate the practice of verifying test execution of regression tests in OpenJDK development. The main motivation behind JCov is the transparency of test coverage metrics. The advantage to promoting standard coverage based on JCov is that OpenJDK developers will be able to use a code coverage tool that stays in the 'lock step' with Java language and VM developments. JCov is a pure java implementation of a code coverage tool that provides a means to measure and analyze dynamic code coverage of Java programs. JCov provides functionality to collect method, linear block, and branch coverage, as well as show uncovered execution paths. It is also able to show a program's source code annotated with coverage information. From a testing perspective, JCov is most useful to determine execution paths.

Build, test, and deploy new features in Eclipse, IntelliJ, and Visual Studio for agile development. Build, test, and deploy in one integrated development environment so you can focus on what matters, code. TestLeft is a developer automated testing tool that can be added to your integrated development environment (IDE) so you can immediately test the UI of new features right after they are built. TestLeft allows you to test at the unit and UI level so you can fix defects earlier in the product lifecycle to save time to let you code more. Without having to manually program descriptions for every object, you can start running functional tests sooner to accelerate your shift left efforts. You can add TestLeft to Visual Studio, Eclipse, IntelliJ or any other IDE. Avoid additional steps getting started by adding the TestLeft UI Spy into any preexisting DevOps pipeline. With support for Jenkins, Bamboo, and other popular CI/CD tools, you can test your application’s UI layer.