Glass box testing is a “testing technique that examines the program structure and derives test data from the program logic/code.” CodeCover measures statement, branch, loop, and strict condition coverage.ĬodeCover is well integrated with a host of development and testing tools including Ant, Jenkins, JUnit, Eclipse, and more. It also is embedded into multiple QA tools, and still lives on in other forms.ĬodeCover is an open source glass-box testing tool for Java and COBOL. Just like EMMA, Cobertura is also not actively maintained and doesn’t support the current Java versions. It lets you execute tasks via Ant, and Maven, or via the Cobertura CLI. on the now-retired jCoverage, Cobertura is another popular open source code coverage tool. Some are deprecated, some actively developed, and each takes a different approach to code coverage. There are a number of open source code coverage tools, but they’re not all the same. The tools in each section are listed in alphabetical order for easy reference. Code Coverage Tools for Other Programming Languages.QA and Other Tools with Code Coverage as a Feature.They are integrated with build tools like Ant, Maven, and Gradle, with CI tools like Jenkins, project management tools like Jira, and a host of other tools that make up the software development toolset.īelow, we’ve listed 25 code coverage tools, including options for: Code coverage tools are available for many programming languages and as part of many popular QA tools.
Whether you’re a single developer working on a side project at home, or an enterprise with a large DevOps team, or working on QA for a start-up, there’s a code coverage tool to suit every need. Over the years, many tools, both open source, and commercial, have been created to serve the code coverage needs of any software development project. And when you’re trying to demonstrate test coverage to your higher-ups, code coverage tools (and other tools of the trade, of course) come in quite useful. Code coverage is typically measured in percentage values – the closer to 100%, the better. Code coverage shows you how much of your application is not covered by automated tests and is therefore vulnerable to defects. It’s an essential metric to understand the quality of your QA efforts. Code Coverage is a measurement of how many lines, statements, or blocks of your code are tested using your suite of automated tests.
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